Acceptance Test Formal tests (often performed by a customer) to determine whether or not a system has satisfied predetermined acceptance criteria. These tests are often used to enable the customer (either internal or external) to determine whether or not to accept a system.
Ad Hoc Testing: Testing carried out using no recognized test case design technique. [BCS]
Alpha Testing: Testing of a software product or system conducted at the developer’s site by the customer.
Assertion Testing. (NBS) A dynamic analysis technique, which inserts assertions about the relationship between program variables into the program code. The truth of the assertions is determined as the program executes.
Automated Testing Software testing which is assisted with software technology that does not require operator (tester) input, analysis, or evaluation.
Background testing. Is the execution of normal functional testing while the SUT is exercised by a realistic workload? This workload is being processed “in the background” as far as the functional testing is concerned. [Load Testing Terminology by Scott Stirling]
Bug: glitch, error, goof, slip, fault, blunder, boner, howler, oversight, botch, delusion, and elision. [B. Beizer, 1990], defect, issue, problem
Beta Testing. Testing conducted at one or more customer sites by the end-user of a delivered software product or system.
Benchmarks Programs that provide performance comparison for software, hardware, and systems.
Benchmarking is specific type of performance test with the purpose of determining performance baselines for comparison. [Load Testing Terminology by Scott Stirling]
Big-bang testing Integration testing where no incremental testing takes place prior to all the system’s components being combined to form the system. [BCS]
Black box testing. A testing method where the application under test is viewed as a black box and the internal behavior of the program is completely ignored. Testing occurs based upon the external specifications. Also known as behavioral testing, since only the external behaviors of the program are evaluated and analyzed.
Boundary Value Analysis (BVA). BVA is different from equivalence partitioning in that it focuses on “corner cases” or values that are usually out of range as defined by the specification. This means that if function expects all values in range of negative 100 to positive 1000, test inputs would include negative 101 and positive 1001. BVA attempts to derive the value often used as a technique for stress, load or volume testing. This type of validation is usually performed after positive functional validation has completed (successfully) using requirements specifications and user documentation.
Breadth test. – A test suite that exercises the full scope of a system from a top-down perspective, but does not test any aspect in detail [Dorothy Graham, 1999]
Cause Effect Graphing. (1) [NBS] Test data selection technique. The input and output domains are partitioned into classes and analysis is performed to determine which input classes cause which effect. A minimal set of inputs is chosen which will cover the entire effect set. (2) A systematic method of generating test cases representing combinations of conditions. See: testing, functional. [G. Myers]
Clean test. A test who’s primary purpose is validation; that is, tests designed to demonstrate the software’s correct working. (Sync. positive test)[B. Beizer 1995]
Code Inspection. A manual [formal] testing [error detection] technique where the programmer reads source code, statement by statement, to a group who ask questions analyzing the program logic, analyzing the code with respect to a checklist of historically common programming errors, and analyzing its compliance with coding standards. Contrast with code audit, code review, code walkthrough. This technique can also be applied to other software and configuration items. [G.Myers/NBS] Sync: Fagan Inspection
Code Walkthrough. A manual testing [error detection] technique where program [source code] logic [structure] is traced manually [mentally] by a group with a small set of test cases, while the state of program variables is manually monitored, to analyze the programmer’s logic and assumptions. [G.Myers/NBS] Contrast with code audit, code inspection, code review.
Coexistence Testing. Coexistence isn’t enough. It also depends on load order, how virtual space is mapped at the moment, hardware and software configurations, and the history of what took place hours or days before. It’s probably an exponentially hard problem rather than a square-law problem. [From Quality Is Not The Goal. By Boris Beizer, Ph. D.]
Compatibility bug A revision to the framework breaks a previously working feature: a new feature is inconsistent with an old feature, or a new feature breaks an unchanged application rebuilt with the new framework code. [R. V. Binder, 1999]
Compatibility Testing. The process of determining the ability of two or more systems to exchange information. In a situation where the developed software replaces an already working program, an investigation should be conducted to assess possible comparability problems between the new software and other programs or systems.
Compos ability testing Â–testing the ability of the interface to let users do more complex tasks by combining different sequences of simpler, easy-to-learn tasks. [Timothy Dyck, Â‘EasyÂ’ and other lies, week April 28, 2003]
Condition Coverage. A test coverage criteria requiring enough test cases such 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. Contrast with branch coverage, decision coverage, multiple condition coverage, path coverage, statement coverage.[G.Myers]
Conformance directed testing. Testing that seeks to establish conformance to requirements or specification. [R. V. Binder, 1999]
CRUD Testing. Build CRUD matrix and test all object creation, reads, updates, and deletion. [William E. Lewis, 2000]
Data-Driven testing An automation approach in which the navigation and functionality of the test script is directed through external data; this approach separates test and control data from the test script. [Daniel J. Mosley, 2002]
Data flow testing Testing in which test cases are designed based on variable usage within the code. [BCS]
Database testing. Check the integrity of database field values. [William E. Lewis, 2000]
Defect The difference between the functional specification (including user documentation) and actual program text (source code and data). Often reported as problem and stored in defect-tracking and problem-management system
Defect Also called a fault or a bug, a defect is an incorrect part of code that is caused by an error. An error of commission causes a defect of wrong or extra code. An error of omission results in a defect of missing code. A defect may cause one or more failures. [Robert M. Poston, 1996.]
Defect. A flaw in the software with potential to cause a failure. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Defect Age. A measurement that describes the period of time from the introduction of a defect until its discovery. . [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Defect Density. A metric that compares the number of defects to a measure of size (e.g., defects per KLOC). Often used as a measure of defect quality. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Defect Discovery Rate. A metric describing the number of defects discovered over a specified period of time, usually displayed in graphical form. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Defect Removal Efficiency (DRE). A measure of the number of defects discovered in an activity versus the number that could have been found. Often used as a measure of test effectiveness. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Defect Seeding. The process of intentionally adding known defects to those already in a computer program for the purpose of monitoring the rate of detection and removal, and estimating the number of defects still remaining. Also called Error Seeding. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Defect Masked. An existing defect that hasn’t yet caused a failure because another defect has prevented that part of the code from being executed. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Depth test. A test case that exercises some part of a system to a significant level of detail. [Dorothy Graham, 1999]
Decision Coverage. A test coverage criteria requiring enough test cases such that each decision has a true and false result at least once, and that each statement is executed at least once. Syn: branch coverage. Contrast with condition coverage, multiple condition coverage, path coverage, statement coverage.[G.Myers]
Dirty testing Negative testing. [Beizer]
Dynamic testing. Testing, based on specific test cases, by execution of the test object or running programs [Tim Koomen, 1999]
End-to-End testing. Similar to system testing; the ‘macro’ end of the test scale; involves testing of a complete application environment in a situation that mimics real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications, or systems if appropriate.
Equivalence Partitioning: An approach where classes of inputs are categorized for product or function validation. This usually does not include combinations of input, but rather a single state value based by class. For example, with a given function there may be several classes of input that may be used for positive testing. If function expects an integer and receives an integer as input, this would be considered as positive test assertion. On the other hand, if a character or any other input class other than integer is provided, this would be considered a negative test assertion or condition.
Error: An error is a mistake of commission or omission that a person makes. An error causes a defect. In software development one error may cause one or more defects in requirements, designs, programs, or tests. [Robert M. Poston, 1996.]
Errors: The amount by which a result is incorrect. Mistakes are usually a result of a human action. Human mistakes (errors) often result in faults contained in the source code, specification, documentation, or other product deliverable. Once a fault is encountered, the end result will be a program failure. The failure usually has some margin of error, either high, medium, or low.
Error Guessing: Another common approach to black-box validation. Black box testing is when everything else other than the source code may be used for testing. This is the most common approach to testing. Error guessing is when random inputs or conditions are used for testing. Random in this case includes a value either produced by a computerized random number generator, or an ad hoc value or test conditions provided by engineer.
Error guessing. A test case design technique where the experience of the tester is used to postulate what faults exist, and to design tests specially to expose them [from BS7925-1]
Error seeding. The purposeful introduction of faults into a program to test effectiveness of a test suite or other quality assurance program. [R. V. Binder, 1999]
Exception Testing. Identify error messages and exception handling processes and conditions that trigger them. [William E. Lewis, 2000]
Exhaustive Testing. (NBS) Executing the program with all possible combinations of values for program variables. Feasible only for small, simple programs.
Exploratory Testing: An interactive process of concurrent product exploration, test design, and test execution. The heart of exploratory testing can be stated simply: The outcome of this test influences the design of the next test. [James Bach]
Failure: A failure is a deviation from expectations exhibited by software and observed as a set of symptoms by a tester or user. A failure is caused by one or more defects. The Causal Trail. A person makes an error that causes a defect that causes a failure. [Robert M. Poston, 1996]
Follow-up testing, we vary a test that yielded a less-than spectacular failure. We vary the operation, data, or environment, asking whether the underlying fault in the code can yield a more serious failure or a failure under a broader range of circumstances. [Measuring the Effectiveness of Software Testers, Cem Kaner, STAR East 2003]
Formal Testing. (IEEE) Testing conducted in accordance with test plans and procedures that have been reviewed and approved by a customer, user, or designated level of management. Antonym: informal testing.
Free Form Testing. Ad hoc or brainstorming using intuition to define test cases. [William E. Lewis, 2000]
Functional Decomposition Approach. An automation method in which the test cases are reduced to fundamental tasks, navigation, functional tests, data verification, and return navigation; also known as Framework Driven Approach. [Daniel J. Mosley, 2002]
Functional testing Application of test data derived from the specified functional requirements without regard to the final program structure. Also known as black box testing.
Gray box testing Tests involving inputs and outputs, but test design is educated by information about the code or the program operation of a kind that would normally be out of scope of view of the tester. [Cam Kaner]
Gray box testing Test designed based on the knowledge of algorithm, internal states, architectures, or other high -level descriptions of the program behavior. [Doug Hoffman]
Gray box-testing Examines the activity of back-end components during test case execution. Two types of problems that can be encountered during gray-box testing are:
Â§Ò¨i a component encounters a failure of some kind, causing the operation to be aborted. The user interface will typically indicate that an error has occurred.
Â§Ò¨i The test executes in full, but the content of the results is incorrect. Somewhere in the system, a component processed data incorrectly, causing the error in the results.
[Elfriede Dustin. “Quality Web Systems: Performance, Security & Usability.”]
High-level tests. These tests involve testing whole, complete products [Kit, 1995]
Inspection A formal evaluation technique in which software requirements, design, or code are examined in detail by person or group other than the author to detect faults, violations of development standards, and other problems [IEEE94]. A quality improvement process for written material that consists of two dominant components: product (document) improvement and process improvement (document production and inspection).
Integration The process of combining software components or hardware components or both into overall system.
Integration testing – testing of combined parts of an application to determine if they function together correctly. The ‘parts’ can be code modules, individual applications, client and server applications on a network, etc. This type of testing is especially relevant to client/server and distributed systems.
Integration Testing. Testing conducted after unit and feature testing. The intent is to expose faults in the interactions between software modules and functions. Either top-down or bottom-up approaches can be used. A bottom-up method is preferred, since it leads to earlier unit testing (step-level integration) this method is contrary to the big-bang approach where all source modules are combined and tested in one step. The big-bang approach to integration should be discouraged.
Interface Tests Programs that provide test facilities for external interfaces and function calls. Simulation is often used to test external interfaces that currently may not be available for testing or are difficult to control. For example, hardware resources such as hard disks and memory may be difficult to control. Therefore, simulation can provide the characteristics or behaviors for specific function.
Internationalization testing (I18N) – testing related to handling foreign text and data within the program. This would include sorting, importing and exporting test and data, correct handling of currency and date and time formats, string parsing, upper and lower case handling and so forth. [Clinton De Young, 2003].
Interoperability Testing which measures the ability of your software to communicate across the network on multiple machines from multiple vendors each of whom may have interpreted a design specification critical to your success differently.
Inter-operability Testing. True inter-operability testing concerns testing for unforeseen interactions with other packages with which your software has no direct connection. In some quarters, inter-operability testing labor equals all other testing combined. This is the kind of testing that I say shouldn’t be done because it can’t be done. [From Quality Is Not The Goal. By Boris Beizer, Ph. D.]
Latent bug A bug that has been dormant (unobserved) in two or more releases. [R. V. Binder, 1999]
Lateral testing. A test design technique based on lateral thinking principals, to identify faults. [Dorothy Graham, 1999]
Load testing: Testing an application under heavy loads, such as testing of a web site under a range of loads to determine at what point the systems response time degrades or fails.
Load Â§Ò¡Ì³tress test. A test is design to determine how heavy a load the application can handle.
Load-stability test. Test design to determine whether a Web application will remain serviceable over extended time span.
Load Â§Ò¡Ì©solation test. The workload for this type of test is designed to contain only the subset of test cases that caused the problem in previous testing.
Master Test Planning. An activity undertaken to orchestrate the testing effort across levels and organizations. [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Monkey Testing. (Smart monkey testing) Inputs are generated from probability distributions that reflect actual expected usage statistics — e.g., from user profiles. There are different levels of IQ in smart monkey testing. In the simplest, each input is considered independent of the other inputs. That is, a given test requires an input vector with five components. In low IQ testing, these would be generated independently. In high IQ monkey testing, the correlation (e.g., the covariance) between these input distributions is taken into account. In all branches of smart monkey testing, the input is considered as a single event.
Maximum Simultaneous Connection testing. This is a test performed to determine the number of connections, which the firewall or Web server is capable of handling.
Mutation testing. A testing strategy where small variations to a program are inserted (a mutant), followed by execution of an existing test suite. If the test suite detects the mutant, the mutant is Â§Ò¦amp; #8992; retired. Â§Ò¡í¹€í¹¦ undetected, the test suite must be revised. [R. V. Binder, 1999]
Multiple Condition Coverage. A test coverage criteria which requires enough test cases such that all possible combinations of condition outcomes in each decision, and all points of entry, are invoked at least once.[G.Myers] Contrast with branch coverage, condition coverage, decision coverage, path coverage, statement coverage.
Negative test. A test whose primary purpose is falsification; that is tests designed to break the software [B.Beizer1995]
Orthogonal array testing: Technique can be used to reduce the number of combination and provide maximum coverage with a minimum number of TC.Pay attention to the fact that it is an old and proven technique. The OAT was introduced for the first time by Plackett and Barman in 1946 and was implemented by G. Taguchi, 1987
Orthogonal array testing: Mathematical technique to determine which variations of parameters need to be tested. [William E. Lewis, 2000]
Oracle. Test Oracle: a mechanism to produce the predicted outcomes to compare with the actual outcomes of the software under test [fromBS7925-1]
Parallel Testing: Testing a new or an alternate data processing system with the same source data that is used in another system. The other system is considered as the standard of comparison. Sync: parallel run.[ISO]
Penetration testing The process of attacking a host from outside to ascertain remote security vulnerabilities.
Performance Testing. Testing conducted to evaluate the compliance of a system or component with specific performance requirements [BS7925-1]
Performance testing can be undertaken to: 1) show that the system meets specified performance objectives, 2) tune the system, 3) determine the factors in hardware or software that limit the system’s performance, and 4) project the system’s future load- handling capacity in order to schedule its replacements” [Software System Testing and Quality Assurance. Beizer, 1984, p. 256]
Preventive Testing Building test cases based upon the requirements specification prior to the creation of the code, with the express purpose of validating the requirements [Systematic Software Testing by Rick D. Craig and Stefan P. Jaskiel 2002]
Prior Defect History Testing. Test cases are created or rerun for every defect found in prior tests of the system. [William E. Lewis, 2000]
Qualification Testing. (IEEE) Formal testing, usually conducted by the developer for the consumer, to demonstrate that the software meets its specified requirements. See: acceptance testing.
Quality. The degree to which a program possesses a desired combination of attributes that enable it to perform its specified end use.
Quality Assurance (QA) Consists of planning, coordinating and other strategic activities associated with measuring product quality against external requirements and specifications (process-related activities).
Quality Control (QC) Consists of monitoring, controlling and other tactical activities associated with the measurement of product quality goals.
Our definition of Quality: Achieving the target (not conformance to requirements as used by many authors) & minimizing the variability of the system under test
Race condition defect. Many concurrent defects result from data-race conditions. A data-race condition may be defined as two accesses to a shared variable, at least one of which is a write, with no mechanism used by either to prevent simultaneous access. However, not all race conditions are defects.
Recovery testing: Testing how well a system recovers from crashes, hardware failures, or other catastrophic problems.
Regression Testing. Testing conducted for the purpose of evaluating whether or not a change to the system (all CM items) has introduced a new failure. Regression testing is often accomplished through the construction, execution and analysis of product and system tests.
Regression Testing. – Testing that is performed after making a functional improvement or repair to the program. Its purpose is to determine if the change has regressed other aspects of the program [Glen ford G.Myers, 1979]
Reengineering. The process of examining and altering an existing system to reconstitute it in a new form. May include reverse engineering (analyzing a system and producing a representation at a higher level of abstraction, such as design from code), restructuring (transforming a system from one representation to another at the same level of abstraction), recommendation (analyzing a system and producing user and support documentation), forward engineering (using software products derived from an existing system, together with new requirements, to produce a new system), and translation (transforming source code from one language to another or from one version of a language to another).
Reference testing. A way of deriving expected outcomes by manually validating a set of actual outcomes. A less rigorous alternative to predicting expected outcomes in advance of test execution. [Dorothy Graham, 1999]
Reliability testing. Verify the probability of failure free operation of a computer program in a specified environment for a specified time.
Reliability of an object is defined as the probability that it will not fail under specified conditions, over a period of time. The specified conditions are usually taken to be fixed, while the time is taken as an independent variable. Thus reliability is often written R (t) as a function of time t, the probability that the object will not fail within time t.
Any computer user would probably agree that most software is flawed, and the evidence for this is that it does fail. All software flaws are designed in — the software does not break, rather it was always broken. But unless conditions are right to excite the flaw, it will go unnoticed — the software will appear to work properly. [Professor Dick Hamlet. Ph.D.]
Range Testing. For each input identifies the range over which the system behavior should be the same. [William E. Lewis, 2000]
Risk management. An organized process to identify what can go wrong, to quantify and access associated risks, and to implement/control the appropriate approach for preventing or handling each risk identified.
Robust test. A test, that compares a small amount of information, so that unexpected side effects are less likely to affect whether the test passed or fails. [Dorothy Graham, 1999]
Sanity Testing – typically an initial testing effort to determine if a new software version is performing well enough to accept it for a major testing effort. For example, if the new software is often crashing systems, bogging down systems to a crawl, or destroying databases, the software may not be in a ‘sane’ enough condition to warrant further testing in its current state.
Scalability testing is a subtype of performance test where performance requirements for response time, throughput, and/or utilization are tested as load on the SUT is increased over time. [Load Testing Terminology by Scott Stirling]
Sensitive test. A test that compares a large amount of information, so that it is more likely to defect unexpected differences between the actual and expected outcomes of the test. [Dorothy Graham, 1999]
Skim Testing A testing technique used to determine the fitness of a new build or release of an AUT to undergo further, more thorough testing. In essence, a “pretest” activity that could form one of the acceptance criteria for receiving the AUT for testing [Testing IT: An Off-the-Shelf Software Testing Process by John Watkins]
Smoke test describes an initial set of tests that determine if a new version of application performs well enough for further testing.[Louise Tamers, 2002]
Specification-based test. A test, whose inputs are derived from a specification.
Spike testing. to test performance or recovery behavior when the system under test (SUT) is stressed with a sudden and sharp increase in load should be considered a type of load test.[ Load Testing Terminology by Scott Stirling ]
Standards This page lists many standards that can be related to software testing
STEP (Systematic Test and Evaluation Process) Software Quality Engineering’s copyrighted testing methodology.
State-based testing: Testing with test cases developed by modeling the system under test as a state machine [R. V. Binder, 1999]
State Transition Testing. Technique in which the states of a system are fist identified and then test cases are written to test the triggers to cause a transition from one condition to another state. [William E. Lewis, 2000]
Static testing. Source code analysis. Analysis of source code to expose potential defects.
Statistical testing. A test case design technique in which a model is used of the statistical distribution of the input to construct representative test cases. [BCS]
Stealth bug. A bug that removes information useful for its diagnosis and correction. [R. V. Binder, 1999]
Storage test. Study how memory and space is used by the program, either in resident memory or on disk. If there are limits of these amounts, storage tests attempt to prove that the program will exceed them. [Cam Kaner, 1999, p55]
Stress / Load / Volume test. Tests that provide a high degree of activity, either using boundary conditions as inputs or multiple copies of a program executing in parallel as examples.
Structural Testing. (1)(IEEE) Testing that takes into account the internal mechanism [structure] of a system or component. Types include branch testing, path testing, statement testing. (2) Testing to insure each program statement is made to execute during testing and that each program statement performs its intended function. Contrast with functional testing. Sync: white-box testing, glass-box testing, logic driven testing.
System testing Black-box type testing that is based on overall requirements specifications; covers all combined parts of a system.
Table testing. Test access, security, and data integrity of table entries. [William E. Lewis, 2000]
Test Bed. An environment containing the hardware, instrumentation, simulators, software tools, and other support elements needed to conduct a test [IEEE 610].
Test Case. A set of test inputs, executions, and expected results developed for a particular objective.
Test conditions. The set of circumstances that a test invokes. [Daniel J. Mosley, 2002]
Test Coverage The degree to which a given test or set of tests addresses all specified test cases for a given system or component.
Test Criteria. Decision rules used to determine whether software item or software feature passes or fails a test.
Test data. The actual (set of) values used in the test or that are necessary to execute the test. [Daniel J. Mosley, 2002]
Test Documentation. (IEEE) Documentation describing plans for, or results of, the testing of a system or component, Types include test case specification, test incident report, test log, test plan, test procedure, test report.
Test Driver A software module or application used to invoke a test item and, often, provide test inputs (data), control and monitor execution. A test driver automates the execution of test procedures.
Test Harness A system of test drivers and other tools to support test execution (e.g., stubs, executable test cases, and test drivers). See: test driver.
Test Item. A software item, which is the object of testing. [IEEE]
Test Log A chronological record of all relevant details about the execution of a test.[IEEE]
Test Plan. A high-level document that defines a testing projects so that it can be properly measured and controlled. It defines the test strategy and organized elements of the test life cycle, including resource requirements, project schedule, and test requirements
Test Procedure. A document, providing detailed instructions for the [manual] execution of one or more test cases. [BS7925-1] Often called – a manual test script.
Test Rig A flexible combination of hardware, software, data, and interconnectivity that can be configured by the Test Team to simulate a variety of different Live Environments on which an AUT can be delivered.[Testing IT: An Off-the-Shelf Software Testing Process by John Watkins ]
Test strategy. Describes the general approach and objectives of the test activities. [Daniel J. Mosley, 2002]
Test Status. The assessment of the result of running tests on software.
Test Stub A dummy software component or object used (during development and testing) to simulate the behavior of a real component. The stub typically provides test output.
Test Suites A test suite consists of multiple test cases (procedures and data) that are combined and often managed by a test harness.
Test Tree. A physical implementation of Test Suite. [Dorothy Graham, 1999]
Testability. Attributes of software that bear on the effort needed for validating the modified software [ISO 8402]
Testing. The execution of tests with the intent of providing that the system and application under test does or does not perform according to the requirements specification.
(TPI) Test Process Improvement A method for base lining testing processes and identifying process improvement opportunities, using a static model developed by Martin Pol and Tim Koomen.
Thread Testing A testing technique used to test the business functionality or business logic of the AUT in an end-to-end manner, in much the same way a User or an operator might interact with the system during its normal use.[Testing IT: An Off-the-Shelf Software Testing Process by John Watkins ]
Unit Testing. Testing performed to isolate and expose faults and failures as soon as the source code is available, regardless of the external interfaces that may be required. Oftentimes, the detailed design and requirements documents are used as a basis to compare how and what the unit is able to perform. White and black box testing methods are combined during unit testing.
Usability testing. Testing for ‘user-friendliness’. Clearly this is subjective, and will depend on the targeted end-user or customer.
Validation. The comparison between the actual characteristics of something (e.g. a product of a software project and the expected characteristics). Validation is checking that you have built the right system.
Verification The comparison between the actual characteristics of something (e.g. a product of a software project) and the specified characteristics. Verification is checking that we have built the system right.
Volume testing. Testing where the system is subjected to large volumes of data.[BS7925-1]
Walkthrough In the most usual form of term, a walkthrough is step by step simulation of the execution of a procedure, as when walking through code line by line, with an imagined set of inputs. The term has been extended to the review of material that is not procedural, such as data descriptions, reference manuals, specifications, etc.
White Box Testing (glass-box). Testing is done under a structural testing strategy and require complete access to the object’s structureÂ¡that is, the source code