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    What is Agile model advantages,

    disadvantages and when to use it?

    by ISTQB Guide in Testing throughout the testing life cycle

    Agile development model is also a type of Incremental model. Software is developed in

    incremental, rapid cycles. This results in small incremental releases with each release building onprevious functionality. Each release is thoroughly tested to ensure software quality is maintained.

    It is used for time critical applications. Extreme Programming (XP) is currently one of the most

    well known agile development life cycle model.

    Diagram of Agile model:

    Advantages of Agile model:

    Customer satisfaction by rapid, continuous delivery of useful software.

    People and interactions are emphasized rather than process and tools. Customers,

    developers and testers constantly interact with each other.

    Working software is delivered frequently (weeks rather than months).

    Face-to-face conversation is the best form of communication.

    Close, daily cooperation between business people and developers.

    Continuous attention to technical excellence and good design.

    Regular adaptation to changing circumstances.

    Even late changes in requirements are welcomed

    Disadvantages of Agile model:

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    In case of some software deliverables, especially the large ones, it is difficult to assess the

    effort required at the beginning of the software development life cycle.

    There is lack of emphasis on necessary designing and documentation.

    The project can easily get taken off track if the customer representative is not clear what

    final outcome that they want.

    Only senior programmers are capable of taking the kind of decisions required during the

    development process. Hence it has no place for newbie programmers, unless combined

    with experienced resources.

    When to use Agile model:

    When new changes are needed to be implemented. The freedom agile gives to change is

    very important. New changes can be implemented at very little cost because of the

    frequency of new increments that are produced. To implement a new feature the developers need to lose only the work of a few days, or

    even only hours, to roll back and implement it.

    Unlike the waterfall modelin agile model very limitedplanning is required to get started

    with the project. Agile assumes that the end users needs are ever changing in a dynamic

    business and IT world. Changes can be discussed and features can be newly effected orremoved based on feedback. This effectively gives the customer the finished system they

    want or need.

    Both system developers and stakeholders alike, find they also get more freedom of time

    and options than if the software was developed in a more rigid sequential way. Havingoptions gives them the ability to leave important decisions until more or better data or

    even entire hosting programs are available; meaning the project can continue to moveforward without fear of reaching a sudden standstill.

    Testing methods

    Static vs. dynamic testing

    There are many approaches to software testing. Reviews,walkthroughs, orinspections are

    referred to as static testing, whereas actually executing programmed code with a given set oftest

    casesis referred to asdynamic testing. Static testing can be omitted, and in practice often is.Dynamic testing takes place when the program itself is used. Dynamic testing may begin before

    the program is 100% complete in order to test particular sections of code and are applied to

    discrete functions or modules. Typical techniques for this are either using stubs/drivers orexecution from a debuggerenvironment.

    Static testing involves verification whereas dynamic testing involves validation. Together they

    help improve software quality.

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    The box approach

    Software testing methods are traditionally divided into white- and black-box testing. These two

    approaches are used to describe the point of view that a test engineer takes when designing test

    cases.

    White-Box testing

    Main article: White-box testing

    White-box testing (also known as clear box testing, glass box testing, transparent box

    testing, and structural testing) tests internal structures or workings of a program, as opposed to

    the functionality exposed to the end-user. In white-box testing an internal perspective of thesystem, as well as programming skills, are used to design test cases. The tester chooses inputs to

    exercise paths through the code and determine the appropriate outputs. This is analogous to

    testing nodes in a circuit, e.g.in-circuit testing (ICT).

    While white-box testing can be applied at theunit,integrationandsystem levels of the software

    testing process, it is usually done at the unit level. It can test paths within a unit, paths between

    units during integration, and between subsystems during a systemlevel test. Though this method

    of test design can uncover many errors or problems, it might not detect unimplemented parts ofthe specification or missing requirements.

    Techniques used in white-box testing include:

    API testing (application programming interface) testing of the application using public

    and private APIs

    Code coverage creating tests to satisfy some criteria of code coverage (e.g., the testdesigner can create tests to cause all statements in the program to be executed at least

    once)

    Fault injection methods intentionally introducing faults to gauge the efficacy of testing

    strategies

    Mutation testing methods

    Static testing methods

    Code coverage tools can evaluate the completeness of a test suite that was created with any

    method, including black-box testing. This allows the software team to examine parts of a systemthat are rarely tested and ensures that the most importantfunction points have been tested.[21]Code coverage as a software metric can be reported as a percentage for:

    Function coverage, which reports on functions executed

    Statement coverage, which reports on the number of lines executed to complete

    the test

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    100% statement coverage ensures that all code paths, or branches (in terms ofcontrol flow) are

    executed at least once. This is helpful in ensuring correct functionality, but not sufficient since

    the same code may process different inputs correctly or incorrectly.

    Black-box testing

    Main article: Black-box testing

    Black box diagram

    Black-box testing treats the software as a "black box", examining functionality without any

    knowledge of internal implementation. The tester is only aware of what the software is supposedto do, not how it does it.[22]Black-box testing methods include:equivalence partitioning,

    boundary value analysis, all-pairs testing,state transition tables,decision table testing, fuzz

    testing, model-based testing,use case testing, exploratory testingand specification-based testing.

    Specification-based testing aims to test the functionality of software according to the applicablerequirements.[23]This level of testing usually requires thoroughtest cases to be provided to the

    tester, who then can simply verify that for a given input, the output value (or behavior), either

    "is" or "is not" the same as the expected value specified in the test case. Test cases are built

    around specifications and requirements, i.e., what the application is supposed to do. It usesexternal descriptions of the software, including specifications, requirements, and designs to

    derive test cases. These tests can be functional ornon-functional, though usually functional.

    Specification-based testing may be necessary to assure correct functionality, but it is insufficientto guard against complex or high-risk situations.[24]

    One advantage of the black box technique is that no programming knowledge is required.

    Whatever biases the programmers may have had, the tester likely has a different set and may

    emphasize different areas of functionality. On the other hand, black-box testing has been said tobe "like a walk in a dark labyrinth without a flashlight."[25] Because they do not examine the

    source code, there are situations when a tester writes many test cases to check something that

    could have been tested by only one test case, or leaves some parts of the program untested.

    This method of test can be applied to all levels of software testing: unit, integration, systemandacceptance. It typically comprises most if not all testing at higher levels, but can also dominate

    unit testing as well.

    Visual testing

    The aim of visual testing is to provide developers with the ability to examine what washappening at the point of software failure by presenting the data in such a way that the developer

    can easily find the information he or she requires, and the information is expressed clearly. [26][27]

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    At the core of visual testing is the idea that showing someone a problem (or a test failure), rather

    than just describing it, greatly increases clarity and understanding. Visual testing therefore

    requires the recording of the entire test process capturing everything that occurs on the testsystem in video format. Output videos are supplemented by real-time tester input via picture-in-

    a-picture webcam and audio commentary from microphones.

    Visual testing provides a number of advantages. The quality of communication is increased

    dramatically because testers can show the problem (and the events leading up to it) to thedeveloper as opposed to just describing it and the need to replicate test failures will cease to exist

    in many cases. The developer will have all the evidence he or she requires of a test failure and

    can instead focus on the cause of the fault and how it should be fixed.

    Visual testing is particularly well-suited for environments that deploy agile methods in their

    development of software, since agile methods require greater communication between testers and

    developers and collaboration within small teams.[citation needed]

    Ad hoc testing and exploratory testing are important methodologies for checking softwareintegrity, because they require less preparation time to implement, while the important bugs can

    be found quickly. In ad hoc testing, where testing takes place in an improvised, impromptu way,

    the ability of a test tool to visually record everything that occurs on a system becomes very

    important.[clarification needed][citation needed]

    Visual testing is gathering recognition incustomer acceptanceandusability testing, because the

    test can be used by many individuals involved in the development process.[citation needed] For the

    customer, it becomes easy to provide detailed bug reports and feedback, and for program users,visual testing can record user actions on screen, as well as their voice and image, to provide a

    complete picture at the time of software failure for the developer.

    Further information: Graphical user interface testing

    Grey-box testing

    Main article: Gray box testing

    Grey-box testing (American spelling: gray-box testing) involves having knowledge of internaldata structures and algorithms for purposes of designing tests, while executing those tests at the

    user, or black-box level. The tester is not required to have full access to the software's source

    code.[28][not in citation given] Manipulating input data and formatting output do not qualify as grey-box,

    because the input and output are clearly outside of the "black box" that we are calling the systemunder test. This distinction is particularly important when conducting integration testingbetween

    two modules of code written by two different developers, where only the interfaces are exposed

    for test.

    However, tests that require modifying a back-end data repository such as a database or a log file

    does qualify as grey-box, as the user would not normally be able to change the data repository in

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    normal production operations.[citation needed] Grey-box testing may also includereverse engineering

    to determine, for instance, boundary values or error messages.

    By knowing the underlying concepts of how the software works, the tester makes better-informed testing choices while testing the software from outside. Typically, a grey-box tester

    will be permitted to set up an isolated testing environment with activities such as seeding adatabase. The tester can observe the state of the product being tested after performing certain

    actions such as executingSQLstatements against the database and then executing queries toensure that the expected changes have been reflected. Grey-box testing implements intelligent

    test scenarios, based on limited information. This will particularly apply to data type handling,

    exception handling, and so on.[29]

    Testing levels

    Tests are frequently grouped by where they are added in the software development process, or by

    the level of specificity of the test. The main levels during the development process as defined by

    the SWEBOKguide are unit-, integration-, and system testing that are distinguished by the testtarget without implying a specific process model.[30] Other test levels are classified by the testing

    objective.[30]

    Unit testing

    Main article: Unit testing

    Unit testing, also known as component testing, refers to tests that verify the functionality of a

    specific section of code, usually at the function level. In an object-oriented environment, this isusually at the class level, and the minimal unit tests include the constructors and destructors.[31]

    These types of tests are usually written by developers as they work on code (white-box style), to

    ensure that the specific function is working as expected. One function might have multiple tests,to catch corner cases or other branches in the code. Unit testing alone cannot verify the

    functionality of a piece of software, but rather is used to assure that the building blocks the

    software uses work independently of each other.

    Unit testing is a software development process that involves synchronized application of a broadspectrum of defect prevention and detection strategies in order to reduce software development

    risks, time, and costs. It is performed by the software developer or engineer during the

    construction phase of the software development lifecycle. Rather than replace traditional QA

    focuses, it augments it. Unit testing aims to eliminate construction errors before code is promotedto QA; this strategy is intended to increase the quality of the resulting software as well as the

    efficiency of the overall development and QA process.

    Depending on the organization's expectations for software development, unit testing mightinclude static code analysis, data flow analysis metrics analysis, peer code reviews, code

    coverage analysis and other software verification practices.

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    Integration testing

    Main article: Integration testing

    Integration testing is any type of software testing that seeks to verify the interfaces between

    components against a software design. Software components may be integrated in an iterativeway or all together ("big bang"). Normally the former is considered a better practice since itallows interface issues to be located more quickly and fixed.

    Integration testing works to expose defects in the interfaces and interaction between integrated

    components (modules). Progressively larger groups of tested software components

    corresponding to elements of the architectural design are integrated and tested until the softwareworks as a system.[32]

    System testing

    Main article: System testing

    System testing tests a completely integrated system to verify that it meets its requirements.[33]

    In addition, the software testing should ensure that the program, as well as working as expected,

    does not also destroy or partially corrupt its operating environment or cause other processes

    within that environment to become inoperative (this includes not corrupting shared memory, notconsuming or locking up excessive resources and leaving any parallel processes unharmed by its

    presence).[citation needed]

    Acceptance testing

    Main article: Acceptance testing

    At last the system is delivered to the user for Acceptance testing.

    Testing Types

    Installation testing

    Main article: Installation testing

    An installation test assures that the system is installed correctly and working at actual customer'shardware.

    Compatibility testing

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    Main article: Compatibility testing

    A common cause of software failure (real or perceived) is a lack of its compatibilitywith other

    application software, operating systems (or operating systemversions, old or new), or targetenvironments that differ greatly from the original (such as a terminal orGUIapplication intended

    to be run on the desktop now being required to become a web application, which must render ina web browser). For example, in the case of a lack ofbackward compatibility, this can occur

    because the programmers develop and test software only on the latest version of the targetenvironment, which not all users may be running. This results in the unintended consequence

    that the latest work may not function on earlier versions of the target environment, or on older

    hardware that earlier versions of the target environment was capable of using. Sometimes suchissues can be fixed by proactively abstracting operating system functionality into a separate

    program module orlibrary.

    Smoke and sanity testing

    Sanity testing determines whether it is reasonable to proceed with further testing.

    Smoke testing is used to determine whether there are serious problems with a piece of software,

    for example as abuild verification test.

    Regression testing

    Main article: Regression testing

    Regression testing focuses on finding defects after a major code change has occurred.Specifically, it seeks to uncoversoftware regressions, or old bugs that have come back. Such

    regressions occur whenever software functionality that was previously working correctly stopsworking as intended. Typically, regressions occur as an unintended consequence of programchanges, when the newly developed part of the software collides with the previously existing

    code. Common methods of regression testing include re-running previously run tests and

    checking whether previously fixed faults have re-emerged. The depth of testing depends on the

    phase in the release process and theriskof the added features. They can either be complete, forchanges added late in the release or deemed to be risky, or be very shallow, consisting of positive

    tests on each feature, if the changes are early in the release or deemed to be of low risk.

    Acceptance testing

    Main article: Acceptance testing

    Acceptance testing can mean one of two things:

    1. A smoke test is used as an acceptance test prior to introducing a new build to the maintesting process, i.e. before integrationorregression.

    2. Acceptance testing performed by the customer, often in their lab environment on their

    own hardware, is known as user acceptance testing (UAT). Acceptance testing may be

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    performed as part of the hand-off process between any two phases of development.[citation

    needed]

    Alpha testing

    Alpha testing is simulated or actual operational testing by potential users/customers or anindependent test team at the developers' site. Alpha testing is often employed for off-the-shelfsoftware as a form of internal acceptance testing, before the software goes to beta testing. [34]

    Beta testing

    Beta testing comes after alpha testing and can be considered a form of external user acceptancetesting. Versions of the software, known asbeta versions, are released to a limited audience

    outside of the programming team. The software is released to groups of people so that further

    testing can ensure the product has few faults orbugs. Sometimes, beta versions are madeavailable to the open public to increase the feedbackfield to a maximal number of future users.[citation needed]

    Functional vs non-functional testing

    Functional testing refers to activities that verify a specific action or function of the code. These

    are usually found in the code requirements documentation, although some developmentmethodologies work from use cases or user stories. Functional tests tend to answer the question

    of "can the user do this" or "does this particular feature work."

    Non-functional testing refers to aspects of the software that may not be related to a specific

    function or user action, such as scalability or otherperformance, behavior under certain

    constraints, orsecurity. Testing will determine the flake point, the point at which extremes ofscalability or performance leads to unstable execution. Non-functional requirements tend to be

    those that reflect the quality of the product, particularly in the context of the suitabilityperspective of its users.

    Destructive testing

    Main article: Destructive testing

    Destructive testing attempts to cause the software or a sub-system to fail. It verifies that thesoftware functions properly even when it receives invalid or unexpected inputs, thereby

    establishing the robustness of input validation and error-management routines.[citation needed]Software fault injection, in the form offuzzing, is an example of failure testing. Variouscommercial non-functional testing tools are linked from the software fault injection page; there

    are also numerous open-source and free software tools available that perform destructive testing.

    Further information: Exception handling andRecovery testing

    Software performance testing

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    Performance testingis generally executed to determine how a system or sub-system performs in

    terms of responsiveness and stability under a particular workload. It can also serve to investigate,

    measure, validate or verify other quality attributes of the system, such as scalability, reliabilityand resource usage.

    Load testingis primarily concerned with testing that the system can continue to operate under aspecific load, whether that be large quantities of data or a large number ofusers. This is

    generally referred to as software scalability. The related load testing activity of when performedas a non-functional activity is often referred to as endurance testing.Volume testingis a way to

    test software functions even when certain components (for example a file or database) increase

    radically in size. Stress testingis a way to test reliability under unexpected or rare workloads.Stability testing(often referred to as load or endurance testing) checks to see if the software can

    continuously function well in or above an acceptable period.

    There is little agreement on what the specific goals of performance testing are. The terms load

    testing, performance testing,scalability testing, and volume testing, are often used

    interchangeably.

    Real-time software systems have strict timing constraints. To test if timing constraints are met,

    real-time testingis used.

    Usability testing

    Usability testing is needed to check if the user interface is easy to use and understand. It is

    concerned mainly with the use of the application.

    Accessibility

    Accessibility testing may include compliance with standards such as:

    Americans with Disabilities Act of 1990

    Section 508 Amendment to the Rehabilitation Act of 1973

    Web Accessibility Initiative (WAI) of the World Wide Web Consortium(W3C)

    Security testing

    Security testing is essential for software that processes confidential data to prevent system

    intrusion by hackers.

    Internationalization and localization

    The general ability of software to beinternationalized and localized can be automatically testedwithout actual translation, by usingpseudolocalization. It will verify that the application still

    works, even after it has been translated into a new language or adapted for a new culture (such as

    different currencies or time zones).[35]

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    Actual translation to human languages must be tested, too. Possible localization failures include:

    Software is often localized by translating a list ofstrings out of context, and the translator

    may choose the wrong translation for an ambiguous source string.

    Technical terminology may become inconsistent if the project is translated by several

    people without proper coordination or if the translator is imprudent.

    Literal word-for-word translations may sound inappropriate, artificial or too technical in

    the target language.

    Untranslated messages in the original language may be left hard codedin the source

    code.

    Some messages may be created automatically at run time and the resulting string may be

    ungrammatical, functionally incorrect, misleading or confusing.

    Software may use a keyboard shortcut which has no function on the source language's

    keyboard layout, but is used for typing characters in the layout of the target language.

    Software may lack support for the character encoding of the target language.

    Fonts and font sizes which are appropriate in the source language may be inappropriate in

    the target language; for example, CJK charactersmay become unreadable if the font istoo small.

    A string in the target language may be longer than the software can handle. This may

    make the string partly invisible to the user or cause the software to crash or malfunction.

    Software may lack proper support for reading or writingbi-directional text.

    Software may display images with text that was not localized.

    Localized operating systems may have differently named system configuration filesand

    environment variables and differentformats for dateandcurrency.

    Development testing

    Main article: Development Testing

    Development Testing is a software development process that involves synchronized application

    of a broad spectrum of defect prevention and detection strategies in order to reduce software

    development risks, time, and costs. It is performed by the software developer or engineer duringthe construction phase of the software development lifecycle. Rather than replace traditional QA

    focuses, it augments it. Development Testing aims to eliminate construction errors before code is

    promoted to QA; this strategy is intended to increase the quality of the resulting software as well

    as the efficiency of the overall development and QA process.

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    Depending on the organization's expectations for software development, Development Testing

    might include static code analysis, data flow analysis metrics analysis, peer code reviews, unit

    testing, code coverage analysis, traceability, and other software verification practices.

    A/B testing

    Main article: A/B testing

    Testing process

    Traditional CMMI or waterfall development model

    A common practice of software testing is that testing is performed by an independent group oftesters after the functionality is developed, before it is shipped to the customer.[36]This practice

    often results in the testing phase being used as aproject buffer to compensate for project delays,

    thereby compromising the time devoted to testing.[37]

    Another practice is to start software testing at the same moment the project starts and it is a

    continuous process until the project finishes.[38]

    Further information: Capability Maturity Model Integrationand Waterfall model

    Agile or Extreme development model

    In contrast, some emerging software disciplines such as extreme programmingand the agile

    software developmentmovement, adhere to a "test-driven software development" model. In this

    process, unit tests are written first, by the software engineers (often withpair programming in theextreme programming methodology). Of course these tests fail initially; as they are expected to.

    Then as code is written it passes incrementally larger portions of the test suites. The test suites

    are continuously updated as new failure conditions and corner cases are discovered, and they areintegrated with any regression tests that are developed. Unit tests are maintained along with the

    rest of the software source code and generally integrated into the build process (with inherently

    interactive tests being relegated to a partially manual build acceptance process). The ultimategoal of this test process is to achievecontinuous integrationwhere software updates can be

    published to the public frequently. [39][40]

    This methodology increases the testing effort done by development before reaching a formal

    testing team. In a more traditional model, most of the test execution occurs after the requirementshave been defined and the coding process has been completed.

    Top-down and bottom-up

    Bottom Up Testing is an approach to integrated testing where the lowest level components(modules, procedures, and functions) are tested first, then integrated and used to facilitate the

    testing of higher level components. After the integration testing of lower level integrated

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    modules, the next level of modules will be formed and can be used for integration testing. The

    process is repeated until the components at the top of the hierarchy are tested. This approach is

    helpful only when all or most of the modules of the same development level are ready.[citation needed]This method also helps to determine the levels of software developed and makes it easier to

    report testing progress in the form of a percentage.[citation needed]

    Top Down Testing is an approach to integrated testing where the top integrated modules are

    tested and the branch of the module is tested step by step until the end of the related module.

    In both, method stubs and drivers are used to stand-in for missing components and are replaced

    as the levels are completed....

    A sample testing cycle

    Although variations exist between organizations, there is a typical cycle for testing.[41] The

    sample below is common among organizations employing theWaterfall development model.

    The same practices are commonly found in other development models, but might not be as clearor explicit.

    Requirements analysis: Testing should begin in the requirements phase of the software

    development life cycle. During the design phase, testers work to determine what aspects

    of a design are testable and with what parameters those tests work.

    Test planning: Test strategy,test plan, testbed creation. Since many activities will be

    carried out during testing, a plan is needed.

    Test development: Test procedures, test scenarios,test cases, test datasets, test scripts to

    use in testing software.

    Test execution: Testers execute the software based on the plans and test documents thenreport any errors found to the development team.

    Test reporting: Once testing is completed, testers generate metrics and make final

    reports on theirtest effort and whether or not the software tested is ready for release.

    Test result analysis: Or Defect Analysis, is done by the development team usually along

    with the client, in order to decide what defects should be assigned, fixed, rejected (i.e.found software working properly) or deferred to be dealt with later.

    Defect Retesting: Once a defect has been dealt with by the development team, it is

    retested by the testing team. AKA Resolution testing.

    Regression testing: It is common to have a small test program built of a subset of tests,

    for each integration of new, modified, or fixed software, in order to ensure that the latestdelivery has not ruined anything, and that the software product as a whole is still working

    correctly.

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    Test Closure: Once the test meets the exit criteria, the activities such as capturing the key

    outputs, lessons learned, results, logs, documents related to the project are archived and

    used as a reference for future projects.

    Automated testing

    Main article: Test automation

    Many programming groups are relying more and more on automated testing, especially groups

    that use test-driven development. There are many frameworks to write tests in, and continuousintegration software will run tests automatically every time code is checked into aversion control

    system.

    While automation cannot reproduce everything that a human can do (and all the ways they think

    of doing it), it can be very useful for regression testing. However, it does require a well-developed test suite of testing scripts in order to be truly useful.

    Testing tools

    Program testing and fault detection can be aided significantly by testing tools and debuggers.Testing/debug tools include features such as:

    Program monitors, permitting full or partial monitoring of program code including:

    o Instruction set simulator, permitting complete instruction level monitoring and

    trace facilities

    o Program animation, permitting step-by-step execution and conditionalbreakpoint

    at source level or in machine code

    o Code coverage reports

    Formatted dump orsymbolic debugging, tools allowing inspection of program variables

    on error or at chosen points

    Automated functional GUI testing tools are used to repeat system-level tests through the

    GUI

    Benchmarks, allowing run-time performance comparisons to be made

    Performance analysis (or profiling tools) that can help to highlight hot spotsand resourceusage

    Some of these features may be incorporated into anIntegrated Development Environment (IDE).

    A regression testing technique is to have a standard set of tests, which cover existing

    functionality that result in persistent tabular data, and to compare pre-change data to post-

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    change data, where there should not be differences, using a tool like diffkit. Differences

    detected indicate unexpected functionality changes or "regression".

    Measurement in software testing

    Main article: Software quality

    Usually, quality is constrained to such topics as correctness, completeness,security,[citation needed]but can also include more technical requirements as described under the ISO standard ISO/IEC

    9126, such as capability, reliability, efficiency,portability, maintainability, compatibility, and

    usability.

    There are a number of frequently used software metrics, or measures, which are used to assist indetermining the state of the software or the adequacy of the testing.

    Testing artifacts

    The software testing process can produce several artifacts.

    Test plan

    A test specification is called atest plan. The developers are well aware what test planswill be executed and this information is made available to management and the

    developers. The idea is to make them more cautious when developing their code or

    making additional changes. Some companies have a higher-level document called ateststrategy.

    Traceability matrix

    A traceability matrix is a table that correlates requirements or design documents to test

    documents. It is used to change tests when related source documents are changed, toselect test cases for execution when planning for regression tests by considering

    requirement coverage.Test case

    A test case normally consists of a unique identifier, requirement references from a design

    specification, preconditions, events, a series of steps (also known as actions) to follow,

    input, output, expected result, and actual result. Clinically defined a test case is an inputand an expected result.[42] This can be as pragmatic as 'for condition x your derived result

    is y', whereas other test cases described in more detail the input scenario and what results

    might be expected. It can occasionally be a series of steps (but often steps are containedin a separate test procedure that can be exercised against multiple test cases, as a matter

    of economy) but with one expected result or expected outcome. The optional fields are atest case ID, test step, or order of execution number, related requirement(s), depth, testcategory, author, and check boxes for whether the test is automatable and has been

    automated. Larger test cases may also contain prerequisite states or steps, and

    descriptions. A test case should also contain a place for the actual result. These steps can

    be stored in a word processor document, spreadsheet, database, or other commonrepository. In a database system, you may also be able to see past test results, who

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    generated the results, and what system configuration was used to generate those results.

    These past results would usually be stored in a separate table.

    Test scriptA test script is a procedure, or programing code that replicates user actions. Initially the

    term was derived from the product of work created by automated regression test tools.

    Test Case will be a baseline to create test scripts using a tool or a program.Test suite

    The most common term for a collection of test cases is a test suite. The test suite often

    also contains more detailed instructions or goals for each collection of test cases. Itdefinitely contains a section where the tester identifies the system configuration used

    during testing. A group of test cases may also contain prerequisite states or steps, and

    descriptions of the following tests.

    Test fixture or test dataIn most cases, multiple sets of values or data are used to test the same functionality of a

    particular feature. All the test values and changeable environmental components are

    collected in separate files and stored as test data. It is also useful to provide this data to

    the client and with the product or a project.Test harness

    The software, tools, samples of data input and output, and configurations are all referredto collectively as atest harness.

    Certifications

    Several certification programs exist to support the professional aspirations of software testers and

    quality assurance specialists. No certification now offered actually requires the applicant to showtheir ability to test software. No certification is based on a widely accepted body of knowledge.

    This has led some to declare that the testing field is not ready for certification.[43] Certification

    itself cannot measure an individual's productivity, their skill, or practical knowledge, and cannotguarantee their competence, or professionalism as a tester.[44]

    Software testing certification types

    Exam-based: Formalized exams, which need to be passed; can also be learned by

    self-study [e.g., forISTQB orQAI][45]

    Education-based: Instructor-led sessions, where each course has to be passed

    [e.g., International Institute for Software Testing (IIST)].

    Testing certifications

    Certified Associate in Software Testing (CAST) offered by the QAI[46]

    CATe offered by theInternational Institute for Software Testing[47]

    Certified Manager in Software Testing (CMST) offered by the QAI[46]

    Certified Test Manager (CTM) offered byInternational Institute for Software

    Testing[47]

    Certified Software Tester (CSTE) offered by theQuality Assurance Institute

    (QAI)[46]

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    Certified Software Test Professional (CSTP) offered by theInternational Institute

    for Software Testing[47]

    CSTP (TM) (Australian Version) offered byK. J. Ross & Associates[48]

    ISEB offered by the Information Systems Examinations Board

    ISTQB Certified Tester, Foundation Level (CTFL) offered by the International

    Software Testing Qualification Board[49][50]

    ISTQB Certified Tester, Advanced Level (CTAL) offered by the International

    Software Testing Qualification Board[49][50]

    TMPF TMap Next Foundation offered by theExamination Institute for

    Information Science[51]

    TMPA TMap Next Advanced offered by theExamination Institute for

    Information Science[51]

    Quality assurance certifications

    CMSQ offered by the Quality Assurance Institute (QAI).[46]

    CSQA offered by the Quality Assurance Institute (QAI)[46]

    CSQE offered by the American Society for Quality(ASQ)[52]

    CQIA offered by the American Society for Quality (ASQ)[52]

    Controversy

    Some of the majorsoftware testing controversiesinclude:

    What constitutes responsible software testing?

    Members of the "context-driven" school of testing[53] believe that there are no "best

    practices" of testing, but rather that testing is a set of skills that allow the tester to selector invent testing practices to suit each unique situation.[54]

    Agile vs. traditional

    Should testers learn to work under conditions of uncertainty and constant change orshould they aim atprocess "maturity"? The agile testing movement has received growing

    popularity since 2006 mainly in commercial circles,[55][56] whereas government and

    military[57] software providers use this methodology but also the traditional test-last

    models (e.g. in the Waterfall model).[citation needed]

    Exploratory test vs. scripted[58] Should tests be designed at the same time as they are executed or should they be

    designed beforehand?Manual testing vs. automated

    Some writers believe that test automation is so expensive relative to its value that it

    should be used sparingly.[59] More in particular, test-driven developmentstates that

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    developers should write unit-tests, as those ofXUnit, before coding the functionality. The

    tests then can be considered as a way to capture and implement the requirements.

    Software design vs. software implementation[60] Should testing be carried out only at the end or throughout the whole process?

    Who watches the watchmen?

    The idea is that any form of observation is also an interactionthe act of testing can alsoaffect that which is being tested.[61]

    Related processes

    Software verification and validation

    Main article: Verification and validation (software)

    Software testing is used in association with verification and validation:[62]

    Verification: Have we built the software right? (i.e., does it implement the requirements).

    Validation: Have we built the right software? (i.e., do the requirements satisfy the

    customer).

    The terms verification and validation are commonly used interchangeably in the industry; it is

    also common to see these two terms incorrectly defined. According to the IEEE Standard

    Glossary of Software Engineering Terminology:

    Verification is the process of evaluating a system or component to determine whether the

    products of a given development phase satisfy the conditions imposed at the start of that

    phase.

    Validation is the process of evaluating a system or component during or at the end of thedevelopment process to determine whether it satisfies specified requirements.

    According to the ISO 9000 standard:

    Verification is confirmation by examination and through provision of objective evidence

    that specified requirements have been fulfilled.Validation is confirmation by examination and through provision of objective evidence

    that the requirements for a specific intended use or application have been fulfilled.

    Software quality assurance (SQA)

    Software testing is a part of the software quality assurance(SQA) process.[4] In SQA, software

    process specialists and auditors are concerned for the software development process rather than

    just the artifacts such as documentation, code and systems. They examine and change thesoftware engineering process itself to reduce the number of faults that end up in the delivered

    software: the so-called "defect rate". What constitutes an "acceptable defect rate" depends on the

    nature of the software; A flight simulator video game would have much higher defect tolerance

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    than software for an actual airplane. Although there are close links with SQA, testing

    departments often exist independently, and there may be no SQA function in some companies.[citation needed]

    Software testing is a task intended to detect defects in software by contrasting a computer

    program's expected results with its actual results for a given set of inputs. By contrast, QA(quality assurance) is the implementation of policies and procedures intended to prevent defects

    from occurring in the first place.

    What is Agile Testing? Advantages of Agile Methodology.

    Thursday, March 29, 2012 Prashant Vadher 3 comments

    Email ThisBlogThis!Share to TwitterShare to Facebook

    What is Agile Testing?

    Agile as the name refers implies something to do very quickly. Agile testing

    is used whenever customer requirements are changing dynamically. Hence

    Agile Testing refers to validate the client requirements as soon as possibleand make it customer friendly. As a Tester, you need to provide your

    thoughts on the client requirements rather than just being the audience atthe other end.

    If we have no SRS, BRS but we have test cases does you execute the testcases blindly or do you follow any other process.

    Test case would have detail steps of what the application is supposed to do.

    1. Functionality of application.

    2. In addition you can refer to Backend, is mean look into the Database. To

    gain more knowledge of the application.

    Introduction to Agile Testing

    While the given application under test is still evolving depending upon the

    customer needs, the mindset of the end user and the current market

    condition, it is highly impractical to go for the usual standard SDLC Modelslike Water Fall, V&V Model etc. Such models are most suitable for the

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    Applications that are stable and non-volatile. The concept of Time-To-Market is the key word in todays IT Business that compels the Software

    vendors to come up with new strategies to save the time, resources, cutdown the cost involved and at the same time, deliver a reliable product that

    meets the user requirements. In this case, a reasonably good amount of

    end-to-end testing is carried out and the product could be acceptable withknown issues/defects at the end of an intermediate release. These defects

    are harmless for the Application usability.To adopt such a process in a systematic way, we have a new concept called

    Agile Methodology. This methodology continuously strives to overcome the

    issues of dynamically changing requirements while still trying to maintain awell-defined process.

    The process is as follows:

    1. The Customer prepares the Business Requirements and the Business

    Analyst or the Engineering team reviews it. Ideally, the QualityAssurance/Testing team is also involved in reviewing these requirements in

    order to be able to plan further stages accordingly.2. During the Design and Implementation stages, the Engineering team

    writes User Stories and the analysis of issues at various stages. TheCustomer reviews these on regular basis and updates the Requirement

    specifications accordingly. The Testing team would follow up on regular basis

    at every stage until a consolidated documentation is prepared. This is toensure that the Customer, the Engineering team and the Testing team are at

    the same page always and thus ensuring complete test coverage.3. While the Engineering team starts the implementation, the Testing team

    starts with test planning, test strategies and test cases preparation. Thesewould be properly documented and handed over to the Customer and theEngineering team for review. This is to ensure the complete test coverage

    and avoid unnecessary or redundant test cases.4. As and when the Developer implements the code, the Testing team

    identifies if the application can be built using this code for a quick testing.

    This is to identify the defects at the early stage so that the developer can fixthem in the next round on priority basis and continue with further

    development. This iteration continues until the end of the codeimplementation. Once the testing cycle starts, the Test team can now f