Best 11 Automation Software Testing Tools

Top Automation Software Testing Tools

In the simplest manner, automation testing means running the test case’s script for execution of the software and generates results without any human intervention. Automation testing is one step ahead of manual testing. The scope of error is also very low in this case. It helps the testers to resist redundant manual work and can run multiple times to find bugs.

As the demand for automation testing is on its zenith, here are some of the automation tools which will help your testing process and also aid you in delivering bug-free software. So, without any further ado,

Let’s get you started with some best automation testing tools:
1. Selenium

It is considered to be the best of the best software testing tool when automation is considered. You can execute Selenium in multiple browsers with the different operating systems. Most of the programming languages and testing frameworks are compatible with it. The automation testers who own advanced programming and scripting skills prefer Selenium for automation testing.

Different operating systems such as Windows, Mac, Linux and browsers like Chrome, Firefox are supported by Selenium. It is the most famous automation framework used by the testers.

2. Katalon Studio

This is one of the vigorous automation testing tools for mobile and web-based applications. It is developed on the frameworks of Selenium and Appium and thus provides consolidated software automation.

This tool aids in various layers of testing skills. It is beneficial to both non-programmers and skilled programmers as it has in-built libraries to assist them in testing.

The tool works well with other tools such as qTest, JIRA, Jenkins, and Git during the QA process.

3. Ranorex

Web and mobile applications and desktop testing can be done through Ranorex. This tool has sophisticated capabilities such as GUI recognition, bug discovery, and record/playback, and integration with various other testing tools. Its highly evolved feature of codeless testing helps the beginner automation testers to use the automation testing in their projects.

Also, Ranorex is a cost-effective automation framework for businesses. Check ranorex component in details.

4. UFT-Unified Functional Testing

Unified Functional Testing (UFT) is an established commercial testing platform for performing functional testing. It offers extensive features for Desktop GUI testing, web services, Application Programming Interface, mobile application platforms. The various other attractive features provided by it are sophisticated image-based object recognition, effective and multi-purpose test components, automated generation of documents.

The automation testing executed through UFT can considerably save time and money. It is one of the most commonly and widely used tools in the market with over 60% share in it. See more, why to choose hp-uft functional testing tool.

5. IBM Rational Functional Tester

IBM Rational Functional Tester is a data-driven tool used for object-oriented automated functional testing which has the potential to perform automated functional, regression, and GUI testing. It provides support for numerous applications such as Java, .NET, HTML, Windows, Visual Basic, and PowerBuilder applications. Principally it is used for automated regression testing.

It lets the testers to develop tests that simulate the evaluations and judgments of a manual testing.

Another attractive feature of RFT is its collaboration with IBM Jazz Application Lifecycle monitoring systems such as IBM Rational Quality Manager and Team Concert.

6. TestComplete

TestComplete is an automated testing framework developed by SmartBears Software. This tool supports testing in Windows, Web, Android, and IOS applications.

It allows the testers to create test cases in different scripting languages like Javascript, Python, VBScript etc. The framework also provides free trial version for 30 days and is provided with two licenses.

Alike Katalon Studio, this testing provides keyword-driven and data-driven testing along with easy-to-use record and playback feature. It gives the results in a short period of time and is cost-friendly. The tool consistently works well with remote computers also.

7. WatiN

It is web Application Testing in .Net, the framework provides an extensive set of features and consistent testing. This testing platform executes testing through internet explorer.

WatiN has a highly sophisticated coded framework which provides an easy interface for the users. This testing tool is created in C# and offers simple and fluent system to perform testing.

8. TestingWhiz

This framework developed by Cygnet Infotech offers an enticing feature set for accomplishing various automated application testing cores on the web and mobile applications.

It is a codeless testing tool for cloud-based and web-based applications. It is useful for both beginner and advanced level testers, provides a complete package of testing solutions in cross-browser, Big data, regression, and data-driven testing. Constant integration testing and release of outputs in Agile cycles together with a risk-oriented approach is provided by this tool.

9. Telerik TestStudio

It is one of the exquisite testing tools which provides automated mobile, web and desktop application testing which includes load and performance testing. Various programming languages such as HTML, AJAX, MVC, JavaScript, and WPF are supported by it. Manual testing and automated testing are both provided by it.

The studio provides quality software on time, free of bugs and ambiguities. It aids in collaboration of .Net developers and QA engineers and thus fosters productivity of the team.

10. Robot framework

Acceptance testing and acceptance test-driven testing are facilitated by the Robot framework. It follows a keyword driven strategy to provide automation testing. This tool refines the test automation process and has the potential to interact with the 3rd party functions.

Its testing proficiency can be further expanded by employing libraries using Java and Python. It is not only used for Web applications but also for Android and IOS application testing.

11. Tricentis Tosca

Developed by Tricentis, the tool facilitates end-to-end testing of software applications. This model-based test automation framework assists in designing and creating test cases.

With a broad feature spectrum, the tool offers dashboard, integrations, and analytics to facilitate agile testing. Like other tools, web and mobile-based application testing is supported by it.

Winding It Up

So, these are the best automation testing tools which are preferred by all the experienced automation testers. I hope that you like the post. Let me know your thoughts on that via comments. Adios till then!!!

You can also check out our well-researched based data of 100 automation testing tools. Don’t forget to share your thoughts!

Author: Claire Mackerras

3 Reasons why test automation should be included at the API level

QA & testing become indomitable especially in the context of API testing. The development teams benefit from automated integration tests at API levels as it helps them in easy integration of apps and higher product adoption rate, ultimately helping the firm increase their profits. API layer is frequently ignored while developing and executing automated tests and mostly end to end user interface driven tests are executed to check if final application works perfectly after integration. API layer is not to be ignored and for a QA strategy to be successful, it should consider API testing as a fundamental part of the overall testing strategy.

Let us understand what API testing means:

Application Programming Interfaces (APIs) are a set of programs that allow two or more software to communicate with each other and be able to exchange data smoothly. In the testing world, testing APIs is different than other types of testing. UI and functional testing is often given importance while API testing is ignored. The foremost responsibility of a tester is to ensure that API testing is performed in order to attain seamless functioning, performance, and the reliability of different data-driven applications and systems by verifying exchanges and communications between applications, systems, databases, and networks.

While integration testing has been a component of the test automation pyramid since its inception, it’s also been the most undermined layer in functional test automation. All tests that supercede the scope of an individual unit, and can’t be covered by unit testing are often executed through user interface-driven, end-to-end test scenarios. But while end-to-end tests can be seen as the ultimate integration test, where all components come together, having too many of them leads to test suites that take unnecessarily long to execute, and that are hard to maintain and keep stable. It’s often possible to test important parts of an application’s technical and business logic through an API. To understand the importance of API Testing more in depth, let’s understand the undermentioned benefits of Automated API testing:

Wider Scope than Unit testing:

Unit tests are often run on small group of components within a single application layer. Issues are often not detected in distributed apps where one application layer ends and the next one begins. In order validate if the components are communicating as desired, API level tests are designed. So, the need of a strong API testing Strategy is of dire importance at the integration level especially when it comes to integrating with external components. Managing the testing environment is a critical task to perform especially when the components are with different teams.

More Stability and Speed as compared to end-to-end tests:

It is true that end-to-end tests are vaster in scope than API testing. They cover all the layers and components of the application but API tests cope up with its loss with its stability and speed. API tests are certainly faster than the former. End-to-end tests take longer time to load browsers and screens whereas API tests are based on individual request-response interactions (for example in JSON or XML format)which makes the execution faster with shorter feedback cycles. Moreover, user interfaces tend to change frequently due to various user change requests and adherence to advanced front end frameworks API tends to be more stable in terms of Interfaces that yields fewer faults and requires less maintenance.

Introducing API Level Testing more seriously- A significant decision in Automation Testing

API level integration testing should be a mandatory aspect of any automated testing agenda. It could be an unnerving move for those with no prior expertise in this area. It is mostly the tester’s cup of tea more than the developer’s as it can go beyond the component or application. The absence of user interface can be a blocker in accessing and testing the API. But you can opt from various automated API testing tools available in the market. Tools like RestAssured, SoapUI, and Postman are preferred among the most.

Conclusion

In the era of Artificial intelligence and IoT, the need for API tests is becoming intense. Automated API Testing strategy is the most effective strategy for faster delivery and reduced human inaccuracies. With the help of the tools, more API test requirements could be covered and API testing could be made more advantageous for secured and quality deployment of mobile applications in shorter time. Why don’t you integrate your automation framework using pCloudy’s API and make your app release faster?

Try pCloudy for Free now.

Author: Shankar Anamalla 

8 common Appium Mobile test automation mistakes and how to avoid them

As we all know that Appium is the most preferred test automation tool for mobile applications. It is the first choice of the testers because of its flexibility i.e. it is open source, it has the best supported and highly active community of experts, Appium works across different platforms and works well with different scripting languages. Even after gaining such a popularity and having a strong community base, surprisingly,the users still make mistakes while running the mobile test automation with Appium.

Here are a few common mistakes that Appium users encounter while using Appium Mobile Test Automation Tool:

1. Unrestricted X Path Usage:

Over usage of X Path could be found in case of Selenium as well but when it comes to Appium world, it has more outrageous effects because X Path is a more dynamic way to unearth the elements. But the biggest stumbling block in this scenario is its huge performance cost due to which it becomes elusive an area. This is because Google and Apple do not provide XML or XPath related queries in a way we would need them to be. All of this hospitalizes an unmanageable cost finding elements using X Path. Undoubtedly, X Path is the most trusted method but there are several other better locator methods like ‘Accessibility IDs’ that can be used in this sitch.

2. Neglected usage of Accessibility IDs:

The accessibility ID locator strategy is formulated to read a unique identifier for a UI element. For both iOS and Android, getting an element by their accessibility ID is the best method. Most importantly, it is preferable because it is quicker. It should be noted that semantically accessible IDs are different than the Web IDs. However, the two shouldn’t be combined. In many cases, the accessibility IDs are used only for the purpose of testing even though they have a larger purpose. So, in order not to spoil the accessibility of the applications just for the sake of testing, the bigger purpose of the accessibility IDs should be known. If the accessible IDs are set up on the elements to make the apps testable, the app accessibility also increases, provided that the accessibility labels are sensible to the users using them. But the foremost criteria not to make automation efforts a failure is to make the application testable in the first place.

3. Not making a testable App:

Developing an app should be a forecasted move where in the developers, even before writing the first line of code, plan to develop an app keeping the automation in mind. This they can achieve by keeping in mind the hooks and the unique IDs for the elements in order to make the app more testable. This strategic approach would be a reason for a successful mobile app test automation. Apart from this, there should also be a concentration on the different testing scenarios in order to elude the chances of overlapping before even getting into Appium coding. An open discussion forum with the development teams to discuss the plotting of right accessibility IDs, labels or Unique IDs for the application’s elements would reduce many test automation reliability concerns.

4. Disregarding Application View States:

One of the challenge faced in Mobile Test Automation is not setting up the application. Most of the developers do not set up the application in order to access specific views and user states rapidly. To quote an example given by Jonathan Lipps,one of the key contributors to the Appium project.

A shopping cart functionality of the app might have ten different tests, and ninety percent of the tests might go through the same steps of logging in and searching items to be put in the cart which is a huge waste of time.

So, your team should be able to set up an app’s state and start the test in that apposite state, straightaway. This is highlighted in Appium scenario due to the fact that the mobile simulators and emulators are slow and take longer than usual to reach to the right position on the test.

5. Query for every element visibility:

Not querying for the visibility of every element is another way to speed up the run-time of the Appium test scripts. This leads to an additional load of calls and waiting time for Appium while in the every activity of retrieving an element. The lag can be reduced by only requesting the element attributes which are important in perspective of the test code.

6. Native Testing tools — Always better?

According to some developers, usage of the native testing tools is the best way to get unfailing mobile tests. For example- Espresso in case of Android and XCUITest in case of iOS. This is not a good advice as neither of Google or Apple are going to release and new automation technology. When the question is of stability, the stability of code should be chosen rather than technology and in this scenario, Appium is the best choice!

As an exception, if the development team writes the tests and it’s most comfortable in mobile SDK language, using Google and Apple providers to build development environments. Also, when the constricted test-app or test code-app code integration is needed, then Appium might not be of much help. The utmost value is that Appium provides the WebDriver layer on top of the technology, which means the code can be written in any language and acts as a stable interface to that specific automation technology. Also, being a cross-platform tool, Appium allows to saves a lot of code and architecture in case of testing both iOS and Android devices.

7. Appium is slow:

Appium might be slower in some circumstances and also there are points in Appium codes where it does not seem efficient. Appium backs upon technologies that are slower than Appium and the curators of Appium have strategically chosen to utilize slower strategies for specific instances. For eg: Appium will certainly be slower if you are relying on XPath. The efficiency of the tool depends on how it is being used. Mostly, Appium is favored because of stability than the speed.

8. Not Using Appium Documentation:

The earlier Appium docs were not very user friendly. As a result, they weren’t used as much as they needed to be but the new Appium documents have been completely redesigned and reorganized. Information about the API reference to Appium, client libraries, supported drivers and Appium commands, code examples which was not provided before is all documented in the updated version. It deserves a revisit due to its newness and can be accessed at Appium.io.

Author: Shankar Anamalla 

How to Fix API Testing Challenges?

Testing teams confront a few unique challenges when automated API testing is performed. API testing is a piece of the integration testing procedure and concerns the communication between two frameworks—one of which your staff likely has no power over.

The consumerization of IT is changing the way applications are being created. As opposed to building a monolithic, single framework installed on a server in a back office, present day applications are appropriated inside web browsers and mobile devices so clients can access browsers from anyplace and whenever.

Present day applications are not any more self-sufficient; they include a few services parts tied together at runtime. Therefore, the end-client encounter isn’t driven by the well-designed UIs we as a whole utilize; however by automated API testing that assists interactions between applications, code modules, and back-end frameworks.

The API testing framework is the knowledge behind this associated world. APIs enable organizations to end up more agile and to cooperate in a coordinated way. But, while testing APIs, testers must face a few units of work, making it challenging for the testers to test the APIs.

The following are some of the challenges experienced while testing APIs and our proposed solutions.
First Setup of API Testing:

Manual testing affirms in the case of something works. API testing automation is essential to check how well they perform under strain. Getting the testing foundation up and running is regularly a standout amongst the most challenging parts of the procedure, as it is especially troublesome, but due to it can be a significant inspiration executioner. When you figure out how to motivate your team to get past the procedure, in any case, it pays off finished the long-term.

Solution: API testing should begin in the design phase—how is the API going to be tested? Guarantee interim checking of your APIs for 100% uptime.

Testing Parameter Combinations:

APIs handle communication between frameworks by allocating data values to parameters and going those parameters through data requests. It’s important to test all conceivable parameter request combinations in the API to test for issues relating to particular setups. A bigger project could wind up assigning two unique values to a similar parameter or make occurrences, where numerical values show up when content values should be. Including an extra parameter exponentially builds the number of conceivable combinations.

Solution: We’ve learned from our clients that having release applicants are vital. For instance, picking may be a couple applications to use the API on and release it to only those applications. Pick applications that aren’t basic to day to day activities. This way, you’re ready to perceive how the API is being used and if there are any configurationally changes that should be made to have a general availability release.

Following System Integration:

It’s vital to ensure the is API testing process working effectively with the data tracking system. This is important to bring back right reactions on whether a call is working accurately. It’s likewise used to passively monitor API execution.

Solution: To maintain a strategic distance from challenges here, consider your application in the design phase and how it will incorporate. Ensure you aren’t making applications fail by testing in parallel with basic coordination frameworks. This can be refined by executing and incorporating load testing in your continuous conveyance.

Updating API Schema:

In the present API testing basics, having a regularly changing API encourages request. Notwithstanding, when APIs are updated the information organizing that handles reactions and requests should be updated too.

Solution: To stay away from any API software testing downtime challenges, altogether test the API in beta and alpha conditions. The chances of issues reduction to 90% when testing in these conditions.

Sequencing API Calls:

Mostly, API calls need to show up at a particular request to work effectively. This makes a sequencing challenge for the testing group. For instance, if a call to restore a client’s profile data experiences before the profile is made, the demand will restore errors. The procedure just turns out to be more entangled with more applications included.

Solution: We prescribe making a flowchart to imagine the API calls. This will enable engineers to construct API calls and coordinate them speedier without causing issues.

TestOrigen is capable of an extensive variety of web API testing protocols, for example, ATOM, RSS, SOAP, JSON, XML, REST and so on. Our end to end applications approval involvement with different layers of the application helps in executing successful API testing techniques. Our proficiency in driving API testing tools to implement API testing methods for functional, load and security testing enables us to automate API test cases.

Author: TestOrigen Software Testing 

3 Steps to Ensure That Your Client Portal Is Impeccable!

Client Portal is not just a medium for business owners to converse with their clients. It is an establishment of a new relationship. The beginning of transactions through messages, documents and invoices. And it can be quite tricky to pursue a digital relationship like this one. You might face pitfalls in terms of support turnarounds, information sharing, and appointment bookings. And that’s why, you would need a client portal in place that takes care of all the above requirements.

Talking about client portals, the option you go for depends on the kind of requirements you have. For example, if you are looking for a portal that helps with WordPress Client management, just type client portal WordPress and you will come across several companies that can provide you with the same. Also, all of them will claim that theirs’ is the best portal in market, leaving you utterly confused. You will also find companies that provide an amalgamation of CRM & CMS.

Well, irrespective of the type of client portal you zero upon, what you need to understand is, the portal must render your customers with more access and control over the information that you share mutually. If you are planning on investing into a client portal, this article will give you important insights on the steps you need to take for ensuring that the portal is flawless. So, let’s go!

Stitch in Time

Remember the episode from the popular sitcom Friends? Phoebe keeps on hold for hours together just so that she can speak with a customer care executive and get her phone repaired before the warranty expires. She dozes off while doing so. Quite obviously, that doesn’t work these days. According to Zendesk, more than half of the customers appreciate if you value every second of their time.

So, whether you choose a WordPress client management portal or a Joomla one, you need to ensure that it saves time and comes with a feature that can take care of your client queries without having to pick converse on call or send an email. And in case they must speak with your support staff, you can provide them with the facility of scheduling appointments through your portal. It will save a lot of their time.

Ensure It Is Integrative

Unfortunately, having a client portal alone won’t suffice. You need to link it to your customer relationship management software. During the initial years of your business, working merely around a portal might work. But as and when your client base grows, you might have a tough time managing several clients, their queries and switching between your portal and other platforms.

If you want to keep this inconvenience at bay, you must ensure that your portal is integrative with CRMs and Google or Microsoft calendars. You will be able to find several plugins that might help you bridge this gap. Let’s say you choose a WordPress client portal plugin. Now, you would be able to find different combinations of WordPress as a CMS along with CRMs like Sugar, Suite, and Dynamics.

Make It Personalized

Ever had to deal with a client who doesn’t appreciate changes and asked for an old feature back? Well, if you have used client portals, a scenario like this is common. According to a Customer Service Trends Report by Kayako (2017), 90% of customers ask for brand continuity across different channels. So, even if you have a digital portal, it shouldn’t serve any less than your brick and mortar office would.

To bring this consistency across different channels, you need to communicate right with your portal developers and ensure that they personalize the portal with colors, logos, and features of your choice. Also, when you keep your brand impression unswerving, the clients would think of the interaction space as more trustworthy. They would also keep coming back without reluctance and would be able to resolve their queries with ease.

Let’s Conclude…

Like we mentioned above, it is must for a client portal to have certain qualities if you want to provide a glitch free customer support. And we hope that we provided you with some useful insights. What other qualities would you want your client portal to have and what steps would you follow to ensure that it has them? Feel free to share.

Author: Maulik Shah

Predictive Analytics: The Vital Part of Software Testing

 In today’s world, there are numerous organizations which confront sudden increment in costs, creation postponements and experience operational dangers due to lack of predictive analytics software in Testing.

Comprehensively, there are two kinds of organizations. In one kind, there are software testing organizations which perform testing utilizing its in-house testing condition and in the other sort, there are software development organizations which just outsource the whole testing actions to favored merchants.

Mainly, testing organizations follow a protracted procedure for any testing project with an end goal to reduce operational issues and expenses. In this procedure, these organizations experience numerous issues in each new project.

What is predictive analytics?

Predictive Analytics is a data-driven innovation which can be utilized to anticipate failure focuses in software testing and decide what’s to come. It has the ability to enhance project data and empowers business pioneers to settle on extremely snappy vital choices.

Importance of Predictive Analytics Software for Testing:

The need to achieve speedier to the market and remain precise however much as could reasonably be expected are two of the most basic purposes behind considering Predictive Analytics solutions in QA. How about we assess some key reasons to receive predictive analytics techniques in the QA and testing space.

Construct client driven QA:

It is critical to understand the general market situation and buyer feeling to build up the right applications for the buyers. Predictive analytics software open source connected in QA helps check the shopper estimation on product and applications. This makes QA considerably more clients driven and encourages the teams to address the concentration territories, for example, functional issues, compatibility issues, security issues and performance issues with the application.

Essentially, predictive analytics tools cause teams to grasp client feedback and convey contemporary solutions for better involvement. There is nothing more vital than taking client input and soaking up it in your QA attempts. This will at last help projects to meet their advanced change targets now and even later on.

Finds issues in business processes:

Keeping in mind the end goal to stay away from wasteful aspects costing your organization clients and income, you can utilize predictive analytics marketing to get your business procedure into the center. These modeling techniques in predictive analytics can enable you to decide the issue territories from beginning to end in your work cycle and streamline the procedures. This combination will at last wipeout inefficient practices and enable you to create profitable insights.

Boost Testing effectiveness and improve client encounter:

We have effectively talked about empowering and building client driven QA with Predictive Analytics software. QA teams work with tools, monitor application log documents and create test scripts to touch base at pertinent arrangements. As it were, it helps in the early recognition of potential defects and bugs. Shift-left approach in testing is to empower early recognition of errors and decrease potential defects later on.

Predictive analytics services can support this procedure and empower QA and testing teams. It will help groups to make a preventive move and cut down potential dangers or disappointment among buyers of the application.

It is critical to help testing productivity to convey powerful applications that are perfect and secure for the clients. This must be a predictable procedure to help the advanced change activities and convey wanted client encounter. Applying advanced predictive analytics inside QA accomplishes these targets on a reliable premise.

Benefits of predictive analytics:
  • Anticipate testing issues at the most punctual which can prompt obscure future difficulties
  • Anticipate expectations
  • Mitigate coordination and communication issues
  • Anticipate right condition/right Vendor
  • Enhance Planning, Quality, and Delivery
  • Address business issues

Predictive analytics process helps improvement and testing organizations in recognizing the main drivers of the considerable number of issues and in settling on proactive choices at the earliest.

Soon, we also add this big data predictive analytics technology in our software testing technique’s list, so do take a tour of our website and get best software testing solutions.

Author: TestOrigen Software Testing

To help you decide which tools work best for your API automation tests

To help you decide which tools work best for your API automation tests, this article presents a review and comparison of three popular tools for API testing: SoapUI, Postman, and Katalon Studio. SoapUI and Postman specialize in API testing while Katalon Studio provides a complete solution for API, Web, and mobile app testing. (Learn more Top 5 Free API Testing Tools)

SoapUI

SoapUI is widely cited as a top choice when it comes to API testing. It is a headless functional testing tool specifically designed for API testing. SoapUI supports both REST and SOAP services. API automation testers can either use open-source or pro versions. The pro edition has a user-friendly interface and several advanced features such as assertion wizard, form editor, and SQL query builder. SoapUI is a tool of ReadyAPI suite, offered by SmartBear.

The tool provides many advanced features for API testing, including

  • Generates tests easily using drag and drop, point-and-click
  • Powerful data-driven testing with data from files and databases
  • Scripts can be reused easily
  • Mocks services with RESTful mocking
  • Asynchronous testing

SoapUI is distributed as Open-source and Pro versions ($659/year for medium and large teams).

Postman

Postman emerged as a popular automation tool for API testing after having only been known as a browser extension for API validation. Postman can be installed as a browser extension or a desktop application on Mac, Linux, and Windows. It is used not only by automation testers for API tests but also by developers for developing and validating APIs. It has evolved, in fact, as an environment to develop and test APIs. Some notable features include:

  • A comprehensive feature set for designing, debugging, testing, documenting, and publishing APIs
  • Supports both automated and exploratory testing
  • A friendly and easy-to-use user interface
  • Accepts Swagger and RAML API formats

Postman is affordable as the product is offered in three editions: Postman (free), Postman Pro ($8/month), andPostman Enterprise ($21/month).

Katalon Studio

Katalon Studio is an integrated environment to generate and execute API, Web-based GUI, and mobile apps automation tests. It has a rich feature set for these types of testing and supports multiple platforms including Windows, Mac OS, and Linux. By integrating Selenium and Appium engines with all needed components, built-in keywords, and templates, Katalon Studio provides a unique environment for both testers and developers to perform API and Web automation tests. Some notable highlights of the tool:

  • Handles API, Web, and mobile tests across platforms
  • Allows testers and developers to collaborate and share test cases easily
  • Hundreds of built-in keywords for creating test cases
  • Supports AssertJ to create fluent assertions using the BDD style
  • Seamless integration with other ALM tools for CI/DevOps practices

Katalon Studio is free of charge although it is not open-source.

Dedicated support services, for instance, troubleshooting and consulting services are offered in forms of Business Support and Enterprise Support.

REST and SOAP are the dominant API types, accounting for more than 95% of all API/Web services according to theState of API Integration Report. Katalon Studio and SoapUI support both REST and SOAP APIs while Postman handles only REST requests. It should be noted that the overwhelming majority of API implementations (83%) follow the REST protocol.

Automated assertion generation: this capability involves analyzing APIs and generating assertions automatically. It is expected to save time from manually generating assertions for APIs. All three tools provide basic functions for generating assertion scripts based on some predefined templates or rules.

BDD Cucumber support: this capability allows test cases to be written in natural languages, which helps improve the collaboration between technical staff and business stakeholders. This is a Katalon Studio’s distinct feature not seen in the other tools.

Test reports: all three tools provide capabilities for reporting API test results. Postman generates reports in JSON and HTML formats; Katalon Studio reports results and logs in different forms such as console report, log, HTML and analytics via Katalon Analytics. For SoapUI, the capability to produce detailed test reports is in the commercial edition.

Scripting languages: all tools support languages based on Java.

Web UI and Mobile app testing: in developing a multi-platform application, the team performs Web UI and mobile app tests besides testing APIs. So, supporting these types of test is an advantage of Katalon Studio over Postman and SoapUI, as it allows developers and testers use the same tool, share and collaborate on the same test artifacts.

Test execution analytics: test exaction logs and results from Katalon Studio can be automatically exported to Katalon Analytics, allowing teams to analyze, diagnose, and report bugs.

Summary

This article provides a review of 3 popular and promising tools for API test automation by comparing SoapUI vs Postman and Katalon Studio. Each tool has its own pros and cons; but they are widely used by developers and testers for their API testings. (Read more Top 10 API Testing Tools)

Original source: https://www.katalon.com/resources-center/blog/soapui-vs-postman-kat…

Contact:  Tierney Cantrell

A Simple Approach to Test Design Techniques

What are test design techniques?

Test design is a significant step in the Software Development Life Cycle (SDLC), also known as creating test suites or testing a program. In other words, its primary purpose is to create a set of inputs that can provide a set of expected outputs, to address these concerns:

  • What to test and what not to test
  • How to stimulate the system and with what data values
  • How the system should react and respond to the stimuli

Therefore, various techniques exist for test design and execution. It is understandably crucial to utilize some effective test design techniques since software development is getting more complicated. Generally, software testing design techniques help you write better test cases and optimize testing processes. It also helps reduce the time of executing test cases while escalating test coverage. In this post, I will discuss the overview of software testing design techniques.

The importance of test design techniques

Test design techniques are applied to satisfy the goals of every individual in software development projects, including testers. Although the main purpose is to ensure that the products meet the expectations of clients and their businesses, these techniques allow testers to execute the test effortlessly based on various risk factors. Here is a checklist of standards that a smooth testing process meets:

  • Gather information to understand users’ requirements
  • Derive all important business scenarios
  • Design test scenarios for every derived critical business scenarios
  • Assign all planned test scenarios to different test cases

Then, you will have to choose a test design technique for each requirement. At this point, if things are correctly implemented, you can make significant changes that affect your ROI extraordinarily. Two of main advantages of test design techniques lie on their consistency and repeatability:

  • Possibility to reproduce a test: At several testing phases, testing techniques are considered as a set of rules help ensure a minimum level of consistency. Testers, indeed, would work much more efficiently with a base, thereby reducing a significant amount of effort in later fixing.
  • Increasing of the found bugs: Test design techniques can also be used as analytical tools. When applying techniques to elements, we often see problems in the definition of those elements
Types of test design techniques

Each of these test design techniques is suitable for identifying a certain type of error. The new standard ISO 29119 Software Testing includes the following techniques:

1. Specification-based or Black-box techniques

  • Equivalence Partitioning: The idea of this approach is grouping the inputs with the same attributes to partitions. Code is not visible to testers. Your task is to pick one condition out of each partition, which covers all possible scenarios, to execute test cases. If a condition of a partition is valid, other conditions are valid too. Likewise, if a condition in a partition is invalid, other conditions are also invalid. This helps reduce the number of test cases.
  • Boundary Value Analysis: This is one of the software testing techniques in which test cases are designed to include values at the boundaries. If the input is within the boundary value, it is considered ‘Positive testing.’ If the input is outside of the boundary value, it is considered ‘Negative testing.’ The goal is to select test cases to execute boundary values. In other words, the behavior of Negative testing is more likely to be incorrect than the behavior of Positive testing; and boundaries are an area in which testing is more likely to yield defects.
  • Decision Table Testing: This technique can be used in test design because it helps testers explore the effects of combining different input values when adhering business rules. A Decision Table is a tabular representation of conditions versus test actions. Conditions are considered as inputs, while actions are considered as outputs.
  • State Transition Diagrams: Using this approach, the tester analyzes the behavior of an application under test (AUT) for different input conditions in a sequence. You can provide both positive and negative input test values and record the system behavior. Any system in which you get a different output for the same input is a finite state system.
  • Use Case Testing: Use case testing is a functional testing technique, meaning programming skill is not required. It helps the tester determine which test scripts are executed on the entire system from the beginning to the end of each transaction.

2. Structure-based or White-Box techniques

  • Statement Coverage or Line Coverage: In this technique, every statement in the source code is executed at least once. Thereby, we can check what the source code is and is not expected to do. However, we cannot test the false condition in the source code. Statement coverage = (No. of statements Executed/Total no. of statements in the source code)*100
  • Condition Coverage or Predicate Coverage: Condition coverage is seen for Boolean expression. Condition coverage ensures whether all the Boolean expressions have been covered and evaluated to both TRUE and FALSE.
  • Decision Coverage or Branch Coverage: Test coverage criteria require enough test cases so that each condition in a decision takes on all possible outcomes at least once, and each point of entry to a program or subroutine is invoked at least once. That is, every branch (decision) is either true and false. It is helpful to invalidate all branches in the code to make sure that no branch leads to any abnormal behavior.
  • Multiple Condition Coverage: Every combination of ‘true’ or ‘false’ for the conditions related to a decision has to be tested in this technique.

3. Experience-based technique

  • Exploratory Testing: Usually, this process is carried out by domain experts. They perform testing just by exploring the functionalities of the application without having the knowledge of the requirements. Testers can explore and learn the system while using these techniques. High severity bugs are found very quickly in this type of testing.
  • Error Guessing: Error guessing is one of the testing techniques used to find bugs in a software application based on the tester’s prior experience. In Error guessing, no specific rules are applied.

Learn more details about these techniques at Different Types of Test Design Techniques You Must Know

Choosing the right technique

As mentioned, choosing the technique is the most decisive step. This step is dependent on these factors:

  • Type of system or software application: Testing techniques are mainly determined based on requirements for the domain of the application. Moreover, these techniques are applied differently between mobile and web applications.
  • Regulatory standards: It is evident that your selection of techniques must follow conventional rules of, and approved by the IT industry.
  • Customer’s requirements: Selection of techniques varies and is based on the customer requirements. If your customer does not provide any provision, you have to choose the experience-based approaches.
  • Level and type of risk: Risks may include lack of requirement, equipment or anything related to quality assurance. Both high-level and low-level design techniques can be applied.
  • Test objectives: Test objectives are important because it narrows down the scope of testing activities. Based on that, you can select the most suitable techniques for your project.
  • Tester’s skill and knowledge:  This plays a very crucial role in the selection of techniques since it depends on the availability of test documents like requirement document, analysis report, design document etc. The perception of testers about the application and experience on test execution help to figure out defects quickly, and make the product a quality one.
  • Time and budget: Some projects are short-term, and some are long-term. Based on the project you need to choose techniques. You need to cleverly calculate the budget for each project. For small budgets, cost-effective approaches should be taken.
  • Application development life cycle: The application development lifecycle has different stages, parallel to testing stages. Different stages of development and testing require different techniques.
  • Previous experience in types of defects tracked: This is a type of experience-based techniques on defects that you may encounter in the testing life cycle. What’s more, you can replicate the same situation and catch the errors that met previously.
Conclusion

While I have discussed aspects of designing techniques, I want to emphasize that a poorly designed test would lead to undesirable results or worse, fail to identify defects. Besides, I will discuss the types of designing techniques, their benefits, when to use, and the challenges that lie in each in the next article. Hope this helps!

Original source: https://testautomationresources.com/software-testing-basics/softwar…

Author:  Tierney Cantrell

Intro to Vital Pros & Cons of Bug Tracking Software

Without high-quality free bug tracking software, observing software bugs is unthinkable. No tester/developer can track every single defect in his or her head, nor with a single spreadsheet. Bug-tracking software enables teams to center around priority issues that directly influence the quality of the software product and impart to them more adequately.

Today, such overburdening Software development tasks have been offloaded to bug tracking software. The best news is that software bug tracking is presently a facilitated arrangement. There is no requirement for in-house tinkering of hazardous applications.

By getting the services of the independent facilitated free bug tracking software solution, you can just relax and let the administration fix the issue/bugs for you.

So, if you’re new to the software bug tracking system or software advancement world, you may have a waiting inquiry that you’ve needed to ask: for what reason would it be advisable for you to utilize software bug tracking process in any case?

All things considered, isn’t it similarly as simple to manage bugs with email, or a mutual software bug tracking spreadsheet on your organization’s server? You may think in this way, yet we lead against it.

Thus, in any case, you haven’t implemented a best or free bug tracking software system into your team; then consider the following pros and cons below.

Pros of free bug tracking software:
Quick arrival of the high-quality software:

The best free bug tracking software encourages you to distinguish and fix the bugs that are causing breakage and inability in your software product. Also, these software bug tracking tools will enable you to track the attempts of your QA team for streamlined administration of your QA services.

Enhance Return on Investment by Reducing the Cost of Development:

The best bug tracking software can organize bugs and allot issues. This spots dull issues and focuses on critical issues. The development team will have the capacity to focus on high priority defects as opposed to wasting time on smaller bugs. This enhances group’s efficiency and decreases the cost of the development.

Team connectivity and Better communication:

Most software testing bug tracking tools provide a communication infrastructure to your testing team. Attachment capability, email notifications, and Chat interfaces are only a couple of the features that decrease friction amongst development and QA teams.

Better Service and Customer Satisfaction:

software development bug tracking system permits end clients to report issues and bugs directly on their applications. Basic issues can be examined and unraveled through product adjustments. A list of bug tracking software or tools is composed such that you can utilize it effectively with no exceptional training.

It gives an automated reaction to end clients. They get updates and status of advancement through alerts.

This additionally gives better and significant services to clients by permitting inputs and proposals.

Expanded efficiency:

At the point when engineers can recognize, track, and fix software bugs, they take “ownership” of the bug and are urged to accomplish business as usual. The distributed interface of most online bug tracking software and tools gives developers a chance to monitor every others’ accomplishments, advancing profitability and cooperation.

Cons of free bug tracking software

Similarly as with anything that has a rundown of pros viewpoints, there is additionally a rundown of cons perspectives, however, there are few. One of the greatest cons isn’t so much from the software development bug tracking or software bug tracking tool itself yet more from the way of submitting issue requests. Clients should be extremely detailed with their issue requests in a case, they need a detailed response.

Miscommunication isn’t a blame of the product, the client, or the organization – it’s essentially something that happens. Clients and organizations alike both need to make sure to be persistent with each other and to treat each other with a common regard. A second complaint is that the length of issues in some of these project management and bug tracking software.

A few clients don’t have the tolerance to look through a not insignificant rundown of software issues that have been already recorded and this causes dissatisfaction among the organizations that took time to buy software that saves them.

The length of issues that are submitted can likewise turn into an issue because if there are excessively numerous issues submitted and insufficient architects to address them, some can get neglected. No one jumps at the chance to be overlooked, yet more often than not these sorts of simple bug tracking software incorporate point by point directions and are simple to utilize.

Consequently, top bug tracking software, when utilized right – as a tester, you understand your biological system better and as a team, it will enhance the general proficiency.

So, by utilizing this, an organization can oversee resources better way and offer arrangements substantially speedier. The software for bug tracking can be utilized as a part of every single phase of the advancement procedure, in this manner helping engineers to be content and more beneficial.

This should be done thoroughly and if you are not utilizing it then start working with us, as it will most likely affect your development attempts due to which it can also go in vain.

Author: TestOrigen Software Testing 

Practical steps to moving from manual testing to automation testing

Obstacles of moving from manual to automation testing
  • Too busy running manual tests
  • Put automation off until the “next release.”
  • Company culture is not open to change
  • Company is not sure about the investment
  • Not enough knowledge or experience to implement
  • Not sure how or where to start
Steps to go from manual to automation testing

Step 1: Build a good test case foundation

  • Why create a good test case foundation?
    Good manual test cases are blueprints for what you will and will not be able to automate. Explore automation framework options
  • Aim for goodness, not perfection
  • Test cases will evolve and change as you dig in deeper and learn more
  • Pick a tool to store and organize your manual test case. This can be as simple as you need

Common test case storage options:

Manual test case organization considerations:

  • The option should include tracking which tests can/should be automated and what has been automated.
  • Are you planning on storing test results and/or test plans with your manual test cases?
  • Create a wish list (need to have versus nice to have)

Tips: you can start simple and then import your list into a more complex tool if needed or wanted

Test case management tool wish list example:

Must-Have Nice to Have
– Hosted off-site (cloud)- Test plan management- The ability to export test cases, results, and plans

– Versioning for test cases

–  Variety of export format options (for test summaries)-  Integrates with the defect tracking system (e.g., Assembla, Jira)

–  Integrates with Slack

– The ability to execute automated tests from the tools

Step 2: Explore automation framework options

  • By framework, I mean what your tests are coded in that will run the actual tests. For example, the framework is what will actually send the test to the Selenium Server.
  • What if you don’t know what framework are available?
    If you don’t know, ask resources around you including: Developing team members, QA folks in professional organizations, QA/ Tech mailing lists or Forums, Slack groups, Twitter experts
  • Narrow down your list to about three options and create a matrix that compares each option. This could include building your own.

Framework options and examples:

  • If you are using Selenium, you have some great options: Java, Robot, Python, Ruby, Cucumber (and many more). This can be hosted or self-managed.
  • Many Selenium hosting providers give you “wizards” that will help you set up the framework environments that will work with the solution.

Step 3:  Explore infrastructure options

  • What hardware is needed?
    – Servers: physical, self-managed virtual machines, cloud hosted
    – How will the hardware be installed? maintained?
    – Backup strategy
  • What software is needed?
    – Buy versus Build versus Hosted
    – Versioning strategy for the manual and automated test cases
  • Will the automated test cases exist in the same repository as the project code?

Step 4: Make the first choice:

  • After you have proved to yourself that your approach will work, time to get the team to buy in on your solution
  • What is the quickest way to get to Proof of Concept (POC)?
    – Develop a good plan and get moving
    – The plan should include a REAL DATE for a POC
    – Many times you can take advantage of trial membership for some testing products and tools. If you need the trial extended to reach out to the company and just ask.
  • Have at least one backup plan in case the first choice does not work out.

Step 5: Start simple

  • What is the simplest way to implement your framework approach using your actual product?
    Selenium example: Can you use Selenium IDE scripts to confirm assumptions about product test-ability?

Step 6: Confirm your choice works

  • Go beyond the simple checks you have performed
  • Confirm that your choice will work in your specific environment
  • Many software providers will allow you to sign up for trial accounts so you can take a closer look.

Tips: there is no harm in asking for an extension on a trial account if you needed more time for analysis.

Step 7: POC for team buy-in

    • Proof of Concept (POC) is a chance to share your results, recommendations, and excitement with the large team.
    • Best to show a live demo if possible
    • Have dates and requirements for implementation
    • Helpful to have metrics or other supporting detail to exemplify why automation

Step 8: Implement

My automation implementation:

  1. Git: QA repository containing test cases, test queues, and vagrant/AWS configuration
  2. Jenkins: takes QA git repository and deploys on a Linux system based o config settings
  3. Linux system: launches vagrant/AWS system and executes Robot scripts.
  4. Testing bot: robot scripts are executed against the Selenium server(s) and the internal vagrant/AWS system.
  5. Slack: posts test results from the Linux system to the team. This is broken up between pass and failed test results with emojis.

Note: This video is originated from SeleniumConf UK

This article was originally posted at Test Automation Resources. 

Contact: Tierney Cantrell 

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