Creating Breakthrough Solutions: What Customers Really Want?

I believe, one of the most important aspects for the success of any product is the product-market-fit. I’ve seen many great products fail miserably in achieving commercial success because they don’t solve some of the important customer pain-points. Paul Graham aptly said, “The most common mistake companies make is to solve problems no one has.” And, of course there could be several other reasons for such failures, despite it being a great product, but that’s not what I‘d like to focus on here. While I don’t have a silver bullet and neither do I claim that these have always worked for me but, here are some excellent practices I’ve seen product teams following and they might just work for you:

Customer-Driven Innovation
For one of the new products we’d launched in the enterprise security space, our team followed this unique approach of signing up potential end-users, understanding their complete job in terms of their day-to-day activities, mapping each of them in the product capabilities and then coming up with the overall functionality for the product. This was a great learning experience. We often tend to focus on one great feature and get overly excited about it. Understanding what the users need to perform their job, and not just one great feature, was a big revelation into the overall value we were bringing to the table.

Joint Development Partners
It’s one thing to have ‘domain experts’ advising you on your product strategy and completely another thing to have real users and their decision makers sweating it out with you in trying to achieve a common goal of creating value. Nothing beats the beta users who are highly motivated in installing the product in their environment and giving you the much-needed critical feedback. You should feel lucky if you have some, especially if it’s an enterprise product.

Despite all the ways mentioned here, especially for enterprise software products, we end up getting brand new requirements for that one big deal, for which we need to respond quickly. This is where the last point matters.

Release Early, Release Often:
A lot has been said on this topic. But how often do we effectively implement it? We all want to get our product out in the field doing wonders for our customers as early as possible and get back to us to communicate improvement areas. But then the strong urge to release that perfect product dotting all the I’s and crossing all the T’s keeps us from releasing that so-called imperfect version. Very few teams can overcome the dilemma and have the courage to leap and very often, I have seen them win.

Agile Development, Continuous Testing and Smart Automation
Despite all the precautions and planning, there are always bigger, unexpected opportunities that keep knocking the door. If the engineering is not willing or ill-equipped to respond quickly, the opportunities are lost in no time. Change is the only constant and being agile is the only way to survive. Your response time is always an indicator of how mature and innovative your development processes are. Do focus on them. They will come in handy someday!

Blog Source: https://blog.qualitiasoft.com/resources/creating-breakthrough-solut…

Contact: Monica Paul 

Comparison of Defect Priority & Severity in Software Testing

Severity and priority of defect in software testing are the two things we need to pick once the bug is found. At whatever point we discover a bug, we select the defect severity and priority. Generally, Testers select the defect severity and the Project Manager or Project Lead chooses the defect priority.

Yet, to understand the fundamental difference between defect severity and priority isn’t that troublesome or complex if clarified in an easy and justifiable way. Obviously, the scope for confusion develops just due to the non-accessibility of platforms which can clarify it in a basic and clear way. Additionally, these terms in namely “Severity” and “Priority” gets reflected under the different outcomes acquired on running so-called Bug Tracking Systems to test an expected bit of mobile or web application.

How about we see severity and priority of defect in software testing in detail:
Software defect priority definition:

Defect priority can be characterized as how soon the bug should be settled. It gives the order in which bugs/errors should be settled. Developers choose which defect they should take relying upon priority. It can be High, Medium or Low.

Software defect severity definition:

Software defect severity can be characterized as the effect of the bug on client’s business. It can be Critical, Major or Minor. In easy words, how much impact will be there on the system due to specific bug or defect?

Classification of Types of severity and priority of defect in software testing:
Software defect priority classification:

High: The defect must be settled at the earliest opportunity as it influences the framework seriously and can’t be utilized to the point when it is settled

Medium: During the typical course of the advancement activities defect should be settled. It can hold up until the point when another version is made

Low: The Defect is an aggravation yet repair should be possible once the more genuine Defect has been settled

Software defect severity levels:

Low: It won’t cause any significant separation of the system

Medium: It causes some unfortunate conduct; however, the framework is as yet working

Major: It is an exceedingly serious defect and breaks down the framework. But, certain parts of the framework stay functional

Critical: This bug or error shows complete close down of the procedure, nothing can continue further

Key points of difference between severity and priority of defect in software testing:
Software defect priority:
  • Priority implies how quick it must be settled.
  • Priority is identified with booking to determine the issue.
  • Is largely related to Marketing or Business perspective. It is a pointer towards the significance of the bug.
  • The priority status is set relying on the client needs.
  • Is identified with specialized part of the product. It reflects how awful the bug is for the framework.
  • Priority implies how desperately the issue can be settled.
  • The product manager is to choose the Priority to settle a bug.
  • In view of ‘Project Priorities, the product settles are finished.
  • The Priority status is set by the testers to the developer specifying the time allotment to settle an error. In a case that High priority is specified then the developer needs to settle it at the most punctual.
Software defect severity:
  • It is completely identified with the quality standard or commitment to standard.
  • Severity implies how extreme it is influencing the functionality.
  • Severity is related to measures.
  • The severity compose is characterized by the tester relying on the composed test cases and functionality.
  • Is related to technical aspect of the product. It considers how awful the bug is for the framework.
  • It is completely identified with the quality standard or dedication to standard.
  • Severity implies how huge functionality is influencing the product.
  • The Test Engineer can choose the Severity level of the bug.
  • Relying on Bug Severity the product settles are finished.
  • Moreover, we can state The Severity status is utilized to clarify how seriously the deviation is influencing the assemble.

You should be confronted a few difficulties in actualizing on severity and priority. So don’t delay come to us today, we will make sure to get addressed instantly.

Brief Explanation of Test Data Management Techniques

Test data management techniques are extremely important while the testing software development lifecycle. The measure of data that is produced is colossal for testing the application. Detailing the outcomes it limits the time spent on handling the data and making reports incredibly adds to the productivity of an entire product.

The quantum of data produced while testing an application is enormous, henceforth, Test data management create reports that increase the value of the general application/software.

Test data management techniques also empower incorporated sensitive data disclosure, business characterization, and policy-driven data masking for de-identification or compelling usage of generation data inside the advancement biological system.

Test data management software isn’t just conveyed on premises yet can also be executed on the Cloud, or by means of any hybrid cloud arrangements.

A portion of the key parts of test data management techniques is recognizing regular test data components, concealing and documenting test data, organizing and assigning test data, producing reports and dashboards, building up business rules, creating automation suite for master information arrangement, and in the end, making adaptations of old data.

A large portion of the associations is mostly faced various difficulties with respect to the test data management process.

Thus, underneath are some recommended methodologies for the management of the test data and keep it applicable to the testing needs. The accompanying test data management techniques are exceptionally essential and common which will normally work for most organizations.

Analyzing the Test Data:

Data can be available in various structures and diverse configurations, which can be spread over different frameworks too. The respective teams need to look for the correct data sets based on their needs and the test cases. Finding the correct data in the required configuration and inside the time limitations is totally critical. This heightens the requirement for a strong test data management tools that can manage end-to-end business needs for testing an application.

Approving your test data:

In the present situation where associations are actualizing agile techniques, the data can be sourced even from real clients. This data generally comes by means of the application, which is followed by a test data management strategy for creating and investigating test data that gets utilized for leading test cases by QA teams. Henceforth, the test data must be ensured against any breach in the advancement procedure, where delicate personal data, for example, money related data, names, addresses, and contact details must not get uncovered.

Building test data for Reusability:

By making the data reusable, the bottlenecks and issues inside the data are evacuated and it is completely formed. Eventually, no time is squandered in settling any inconspicuous issues with the data. Datasets get stored away as reusable resources in the central repository and are given to the individual groups to additionally utilize and approval. Thusly, the test data is accessible for building test cases inside no time and easily too.

Automation can quicken the procedure:

Similarly, as we adopt automation for running redundant tests or for running similar tests with various types of information, it’s additionally conceivable to automate the making of test data management in software testing. This would help in uncovering any errors that may happen regarding test data management system while testing. A possible method to do this is by contrasting the outcomes that are delivered by an arrangement of software test data management from test runs. Next, automate this procedure of comparing.

Data is an empowering influence for any and each industry today. It helps in assessing the normal, as well as some sudden components. Test data management concepts are essential, as it orders the required data sets for building the required test condition and lift software quality assurance. It is important for testing an app’s security, performance, functionality, and each perspective that is vital for guaranteeing the desired client experience.

With 50+ proficient in the Data Governance practice, TestOrigen has upheld associations in the implementation of solutions for automated data management, high availability of test data and data analysis & identification. So, connect with us today and automate your test data management and Protect data sensitivity.

Author: TestOrigen Software Testing Serv

The Fast and Functional- Ways to Accelerate Test Automation

Today, technology by itself isn’t the need of the hour. Delivering solutions at the right time is the real game changer. Keeping that in mind, most of the industry has already taken steps to fasten this process: embracing agile development, automating the delivery pipeline, etc. However, this isn’t enough. Business demands more software ever so often and needs it to be made available as fast as possible. So, what can be done to live up to the market’s ever-changing expectations concerning solutions and the time-to-market?

Shift Left
A study conducted by SQS revealed that 56% of defects originated during the requirement phase of the project. This being an incredibly high percentage, led to the adoption of the shift-left model. This approach focuses on quality from the very beginning of the project. As a result, it leads to an improvement in the ability to detect and rectify defects as and when they occur. In turn, all this results in reducing time-to-market.

Get organized
Even though this doesn’t seem necessary and not a day-to-day priority, keeping your tests organized will help streamline and speed up the process for you in the future. Keep your test cases clean and reusable and automate features at the unit level. Following good test management methods is essential. Further on, securing accurate data, and maintaining clean automation reports will make it easier for your team to run tests whenever required.

Automate the Right Way
It is common knowledge that automating tests makes things exponentially faster and simple. However, not many seem to be aware that automating the wrong test cases slows down the progress. Exploratory testing is required for new test cases and doing it at the beginning itself will save you the headache of going back and doing it later after you’ve already tried to automate it. Therefore, before you start running them, understanding the best cases to automate will prevent you from wasting time.

Go Script-less
Adopting script-less automation will allow you to take advantage of your existing functional testers by not making them learn new scripting languages, thereby speeding up the process. Script-less automation tools will help you leverage your existing domain experts.

Using Parallel Testing
Automation gets the required boost with parallel testing, as it allows different tests to run simultaneously. If you can understand the importance of the same tests across devices, multiple browsers, and operating systems, you can also see the benefit of doing this all at once with parallel testing rather than running the script repeatedly on different configurations.

Balancing quality and speed isn’t something that happens overnight, it’s something you will learn better along the way. The strategies mentioned above will help you in working towards faster test automation.

Author: Monica Paul 

Latest AI Developed that can predict Corruption

The Scientist from the University of Valladolid has announced in latest artificial intelligence news that they made a computer relying upon neural systems which compute the likelihood in Spanish regions of corruption, and the conditions that support it. This new AI technology alert system affirms that the probabilities increase when a similar party remains in government for more years.

This new AI system can easily anticipate the probability of corruption in a government.

The investigation, published in the artificial intelligence news journal Social Indicators Research, does not specify the territories most inclined to corruption so as not to produce controversy.

Scientists also clarified in the artificial intelligence news journal that “a more noteworthy inclination or high likelihood does not suggest corruption will really happen.”

The information demonstrates that real estate tax, overstated increase in the cost of lodging, opening of bank offices and the formation of new organizations are a portion of the factors that appear to initiate public corruption, and when they are included in a district, it should be considered to do a more thorough control of general society accounts.

“Furthermore, as may be normal, The model artificial intelligence a modern approach solutions affirm that the increase in the number of years in the government of the same political party expands the chances of corruption, regardless of whether or not the party governs with the majority,” said Ivan Pastor, from University of Valladolid.

To complete the investigation, specialists depended on all cases of corruption that showed up in Spain in the vicinity of 2000 and 2012.

The accumulation and examination of this data have been finished with neural artificial intelligence future technology systems, which demonstrate the most prescient factors of corruption.

Scientists trust that the investigation will add to better direct endeavors to end corruption, concentrating the endeavors on those territories with the best propensity to show up, and also proceeding to advance to apply their artificial intelligence implementation globally.

Author: TestOrigen Software Testing Serv

Let’s discover Blockchain Technology in brief

Technologists and Researchers alike are discussing how blockchain technology is the next huge thing crosswise over businesses from the fund to retail to even medicinal services. As indicated by Gartner, their customer request on blockchain and related subjects have quadrupled since August 2015.

So let’s learn what is blockchain? Or where is the blockchain stored? And as well what does unconfirmed transaction mean on blockchain? All in brief.

Blockchain explained:

The Blockchain technology is a decentralized record of all exchanges over a distributed system. Utilizing these blockchain technology companies, members can affirm exchanges without the need of a central certifying authority. Furthermore, the technology empowers the presence of digital money. Potential applications incorporate reserve exchanges, voting, selling trade, and numerous different uses.

The well-known example of blockchain technology was illustrated in a November 2008 whitepaper titled blockchain Bitcoin: A Peer-to-Peer Electronic Cash System composed by a mysterious individual – or gathering of people – working under the pseudonym Satoshi Nakamoto.

How does it function?

As indicated by Sunny Ray, Co-originator and President of India’s driving bitcoin blockchain organization, Unocoin, “blockchain tech empowers two elements that don’t have any acquaintance with each other to concur that something is valid without the need of an outsider. Rather than composing passages into a single sheet of paper, a blockchain is an appropriated database that takes various sources of info and spots them into a piece. Each square is then ‘tied’ to the following piece utilizing a cryptographic mark. This permits blockchains to be utilized as a record which is open by anybody with consent to do as such. If everybody in the process is pre-chosen, the record is named ‘permissioned’. In a case, the procedure is available to the entire world, the record is called unpermissioned.”

Is it safe?

The USP of blockchain apps is that it enables two gatherings to execute an exchange with no middle person. Blockchain permits budgetary foundations to confirm and execute exchanges unconnectedly with no human intercession.

The electronic record of exchanges is ceaselessly kept up and checked in ‘obstructs’ of records. With the assistance of cryptography, the sealed record is shared between parties on PC servers.

Specialists trust that market blockchain engineering can fundamentally cut down the expenses and decrease wasteful aspects in the budgetary segment.

Advantages of blockchain technology for dummies:
  • As an open record framework, blockchain records and approve every last exchange made, which influences it to secure and solid.
  • Every one of the exchanges made is approved by mineworkers, which makes the exchanges permanent and keep it from the danger of hacking.
  • Blockchain API discards the need of any outsider or focal expert for shared exchanges.
  • Decentralization of the technology.

There has been inescapable feedback about general public nature of the Blockchain and its infringement on singular protection. Blockchain innovation has additionally been condemned as a discussion for use in illegal activities, and specifically the exchange of the returns of wrongdoing.

There has been some inquiry with regards to the potential uses of such innovation past Bitcoin mining. Its disseminated and decentralized nature makes it intrinsically clumsier than some different software projects, particularly as the “chains” grow in size. Associations should give an extensive idea of where and how to apply the Blockchain.

Nevertheless, the innovation and additionally its subordinates speak to a genuine chance to each one of those associated with the eventual fate of the business.

Author: TestOrigen Software Testing Serv 

6 most common problems in Mobile App Testing

Mobile market has shown a phenomenal growth over the years and guess who is responsible for such tremendous success- undoubtedly, it is the mobile application market and evidently its progress appears to be indomitable even in coming years. As per the research, mobile applications are expected to generate around 189 Billion USD revenue figure by 2020 merely by means of app stores and in-app advertising.. As this stream of Mobile application gets strengthened, the competition to make each app unique and effective grows even stronger. The real challenge is to maintain the competitiveness by keeping up with this fast changing industry. With so many variations in the mobile devices, it becomes a challenge in the mobile app testing to succeed in ‘All-Device’ scenario.

Here are the most common challenges faced in the mobile application testing:

1.Multiple Devices: As the mobile market is growing, it’s coming up with more advanced features that before. This becomes a challenge when mobile apps are incompatible with different Operating systems. A mobile app that runs smoothly in one OS might not work well in the other operating system and in different versions of it.

2. Networks: This factor has the most impact on the performance of the mobile application which effects the experience of the app even more. The Wi-Fi speeds, signal strengths or the network drops can cause a bad taste in the mouth of the end user. Since all the network carriers are supporting different data volumes, it is important to test the bandwidth usage. A mobile app tester has to consider all these factors and ensure the app runs smoothly on all networks.Testing on real networks is a fundamental practice to check the existent challenges of testing. In order to cater to this situation, pCloudy offers such a testing environment where the user can test their apps on different network conditions on real mobile devices on cloud.

3.Choice of tools: Testing is the vital aspect of Mobile App Development life Cycle and there are myriads of tools available in the market. pCloudy offers access to tools like Espresso, Appium, Selenium, OpKey, Calabash, Jenkins and many more. Choosing the right tool as per the requirement is the most important decision. The efficacy of MAT process would completely depend upon the competency of the Test-automation tool.

Things to consider before tool evaluation:

  • Type of apps: Apps can be native, hybrid or web. While the trend is inclined towards hybrid apps but the tool of choice should be competent enough to support other kinds of apps.
  • Cloud Testing: Implementing a test automation cloud empowers teams to perform testing on any automation external testing framework .Moreover, the test results can be accessed from any location worldwide.
  • OS Support: Most of the apps are developed for IOS and Android but the scope can expand to Windows, Firefox OS, etc., anytime as the customer base increases. So, the automation tool should be able to support all platforms.

4.Screen Sizes: There are numerous devices-Android or IOS, available with different screen sizes. It is quite a challenge to test for each screen size. IOS mobile app developers who mostly focus on pixel perfect screen design now have to focus more on adaptive without changing all necessary screen elements. So, the businesses have no choice but to change their mobile app design as per the screen size of the devices to offer a top- notch user experience.

5.Types of Mobile Apps: Mobile apps can be based on either of these three architectures-native , hybrid or web application. All these types have different test case scenarios, and have different app behavior from installation to functionality.The decision of how the app will be tested depends on all these aspects.

6.AI Test Automation: AI testing automation has become a vital part of the testing world and is the future of automated app testing. AI Bots can create test cases automatically, generate test codes etc., just by defining a specific testing goal and by providing the initial stage inputs. People still believe in traditional test approach without encouraging and believing testing by Bots at the times when Automated AI testing bots are the Golden Key to MAT automation success.

A good mobile app testing strategy would include a right mix of testing on real devices, user testing and bot testing all at a single platform.

pCloudy provides a biggest cloud platform for automated and manual testing of mobile apps on real devices. It has its own cluster of real devices hosted on cloud to test IOS and Android Apps. Visit pCloudy to choose your plan for availing the best MAT services.

Author: Shankar Anamalla 

The Ploy in Deployment

Over the years a lot has been done to enhance the control and efficiency of application development processes. From agile development to change management solutions based on ISO and ITIL standards, the progress has been remarkable. However, like everything else, this too has a downside. They say that every cloud has a silver lining, but in the world of technology, this silver lining is likely to affect the functionality of the cloud. The increase in the use of agile development has aggravated the pressure IT organizations face in deploying new applications.

Each new enterprise application brings in several diverse application components spread across numerous environments, including application servers, desktops, Web servers, mobile devices, databases, etc. Also, most large organizations have different departments handling each of these functions, and the potential product users are often not in control of the timelines. Besides, since security and compliance requirements put a lot of burden on the IT teams, companies adopt a “better safe than sorry” approach and discourage employees from easily getting new applications or their versions. For the product vendor, the total cost of support is directly proportional to the number of older versions out there in the field.

Although the vendor is not in control of the organization’s processes, they can certainly make the process of deployment simple enough to ensure it doesn’t add any further delays. So, what can be done to facilitate the process of product deployment? Well, the process must start from the start. If you’re designing an application for large enterprises, then a lot of aspects need to be taken care of. These can make or break the time-to-value of the product. I’ve compiled a list of all my learning over the years, which I have seen work most of the times.

Product Architecture

A typical enterprise application should be designed in a way that client deployments, server deployments, network permissions, database creation/access are segregated as functionalities which can be performed by different roles. Don’t assume the user of your product to have these roles within the organization. For example, databases in many large organizations are centrally managed. Creating a database can be potentially done through a ticketing system rather than through your product. Make sure you handle it.

Product Documentation & Support

Product documentation should have role wise information so that it’s easy for your users to understand which departments they need to talk to for prerequisites before they even get to the deployment. Also, your product support team should be fully-equipped to handle the prerequisites required for each department with good reasoning. Be prepared to answer tough security review questions, if you expect too liberal access privileges through your product.

Sales process

Understanding what the client wants to achieve with the product is yet another critical factor.  Do not push further if you realize that your product can’t deliver or live up to their expectations. Regardless of the outcome, the focus should be to understand the client’s requirement and then communicate the facts to the product team. The aim should always be to win a customer and not sell a product. Often times, the oversold product start experiencing problems at the deployment stage itself. Example – Would it function across site boundaries with stringent firewall rules? Yes, of course!

Proof of Concept

This is a crucial stage in the success of a product deployment and will require some effort. To be fully prepared from your own standpoint:

  • Ensure all customized components are consummate;
  • Review data schemes and sample data sets wherever applicable
  • Make sure that success measurement criteria is clearly defined
  • Ensure the POC demonstrates how a mishap is handled.

The worst part of delays in product deployment is that even the employees who were enthusiastic about welcoming the new and improved technology, lose their buzz along the way. The tedious and lengthy process not only takes a toll on their eagerness to use the application but sometimes also puts an end to an opportunity that could’ve been game-changing.  I’d once read this- “It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change,” strangely enough, it applies well to enterprise products aspiring to thrive in the complex world of enterprises too.

Author: Monica Paul 

Future trends getting bigger for mobile apps in e-commerce industry

Living in a technological era has forced entrepreneurs to adapt to current market and technology trends. Mobile is one such driving force that is propelling enterprises to another level.

E-commerce industry is so vast that it needs a proper channel or platform to reach a wider spread of audience. Android and iPhones both have turned to be largely used platforms used by people across the globe.

Consumers of ecommerce industry today use their mobile devices in numerous contexts like — making a purchase anytime, anywhere, browse and get details about a product while shopping in store. A mobile app serves as a bridge connecting all channels and touch points between a retailer and a customer which they together leverage to get a great and seamless shopping experience. Let us have a look at the trends that tend to set the future of mobile apps in e-commerce industry.

A Rising Influx of Mobile Shoppers

Just as smartphone usage and sales continue to tick upward, mobile shopping is likewise expected to rise. Mobile devices currently account for 19% of all ecommerce sales in the United States; however, the figure is projected to rise to 27% by the end of 2018, according to an Invesp report. This influx of mobile shoppers also presents new challenges to merchants, though. Though desktop driven ecommerce sales may be plateauing, but data from Comscore shows that online sales are booming as a whole. Sales from mobile devices are now leading the charge with an annual growth rate of 59% that eclipses desktop 17%.

Source: Invesp report

More Prevalent Storefront Apps

In a response to the aforementioned challenge of appealing to mobile buyers, expect to see a new wave of mobile “storefront apps” to reach buyers on-the-go. This trend goes hand in hand with the need for merchants to have omni-channel presence, as well. Given that mobile users spend 86% of their time within apps versus mobile sites, perhaps branded native smartphone shopping apps are the key to converting those once-fickle customers.

After all, if a customer is willing to go through the effort of downloading a mobile app, chances are they’re loyal and trusting enough to make ongoing purchases. “App commerce” platform Poq recently found that storefront apps outperform mobile web conversion rates by 40%, support longer browsing sessions than even desktop web browsers and are twice as likely to drive repeat visits. This all makes sense given the game-changing functionalities that storefront apps offer, which include superior content personalization opportunities, push notifications and geo location-integrated brick-and-mortar shopping recommendations.

Source: Poqcommerce.com

Poq’s compelling solution, for one, offers a centralized content management system that merchants and marketers can use as a unified data hub that uses an API to automatically sync with analytics platforms, payment gateways, customer review platforms and more.

Boom of app adoption in Indian market

Over 80% of buyers surveyed in India now prefer using apps over mobile browsers to shop on phones, compared to the global average of around 70%, according to a report published by payments technology firm Worldpay. At an average download of 10 mobile apps per day, India has been far ahead and is a thriving market beating its rival U.S and U.K. where the average downloads are 7, the report added. Indians downloaded 12.1 billion apps last year, dethroning the US’s app economy (11.3 billion).

Getting the app experience right can yield handsome rewards for e-tailers. After all, according to the Worldpay report, one in three Indians spent more than Rs4,000 ($62) on their last purchase. Tapping the right market will be the key to their success for e-tailers.

Conclusion

Nobody can truly predict the future in regard to ecommerce. However, these current trends will continue to heavily influence the space for the time being. One thing that is inevitable for the evolving e-commerce industry is that they should maintain the highest quality apps with fastest time to market. The best strategy would be to test the apps on multiple real devices with different OS versions and on different parameters on a cloud based platform that can deliver better quality apps faster. pCloudy is the ideal full lifecycle digital testing cloud based platform to test all the mobile and IOT apps.

Manual, automated and crowd testing can be done on both iOS and Android devices. These tests can be run on a public cloud, on premise or a dedicated private cloud as per the need. Both Selenium and Appium tests can be run on pCloudy. One of the biggest advantage of it is that it can be integrated with Continuous Integration systems.

Sign up on pCloudy and test your apps to believe what we say.

Author: Shankar Anamalla

Tricks While Requirements are Fluctuating constantly during Testing

As a Tester when requirement in software testing changes consistently every team member should be prepared to deal with the adjustments in the project.

In Software Application Development if the requirement in software testing change in the underlying stage then it is still OK to receive the new change in requirement for software testing and cost to settle this is less. In a case, the requirement analysis in software testing are changing constantly yet the progressions are imparted well ahead of time and enough time is given to effective and efficient software testing then it isn’t an issue. In any case, if the requirement of software testing change in late phase of SDLC at that point cost to settle is high.

In the beginning, time work with the defect management process in software testing and end client to see how software testing requirement may change, so relying on that you should get ready for substitute test procedure and test design ahead of time. Starting outline should worthiness which adopt software requirement testing changes in the later stages and keep away from the re-doing works over and over.

However, it is a universal condition and a huge headache in the art of software testing.

Below are some tricks that may help while requirement in software testing fluctuates:
  • Assign proper effort to risk analysis of changes to limit regression testing
  • Balance the effort put into setting up automation software testing with the expected effort required to re-do them to participate in changes.
  • Ensure that customers and requirement management in software testing appreciate the scheduling impacts, unconventional dangers, and what amount do profound requirement analysis phase in software testing changes cost? At that point let administration or the customers choose if the progressions are affirmed.
  • Only effortlessly actualized new requirement in software testing should be permitted into the project while moving more complicated new requirement traceability matrix in software testing into future forms of the application.
  • In the project’s initial stages, take into account some additional opportunity to similar with likely requirement testing in software testing
  • Outline some adaptability into test cases; this isn’t effortlessly done; the best wager is to limit the detail in the test cases, or set up just more high-level nonspecific type test plans.
  • Concentrate less on detailed test cases and test plans and more on ad-hoc testing with an understanding of the additional hazard this involves.
  • Attempt to outline some adaptability to automated software testing test scripts.
  • Concentrate starting automated testing on application perspectives that are well on the way to stay unchanged.
  • You can utilize brisk prototyping at whatever points it conceivable to enable customers to ensure their requirements and limit changes.
  • You should coordinate with the invested individuals of the project on beginning periods to see how requirements may change so substitute test plans and procedures can be worked out ahead of time, if conceivable.

In a case, the same issue still exists at that point consider why this requirement in software testing is not lined up with authenticity. You need to refactor the product advancement process followed in your association.

So take after Agile Development process may be the GOOD alternative to run with as it permits you to change in requirements during late in Software Development processtoo, it is proposed for that.

Moreover, the end client or client association is on all stages, so the client knows about what is implementing and if they need to changes in necessity or include the new requirement in collaborative software testing then it can be effectively suited.

TestOrigen also provides different types of software testing and well understand how to deal with requirement fluctuation while doing testing. So do contact us and get your software testing needs fulfilled.

Author: TestOrigen Software Testing Serv 

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