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Integration Testing
Integration testing is a form of software testing in which multiple software components, modules, or services are tested together to verify they work as expected when combined. The focus is on testing the interactions and data exchange between integrated parts, rather than testing components in isolation. Integration testing describes tests that are run at the integration-level to contrast testing at the unit or system level. Often, integration testing is conducted to evaluate the compliance of a component with functional requirements. In a structured development process, integration testing takes as its input modules that have been unit tested, groups them in larger aggregates, applies tests defined in an integration test plan, and delivers as output test results as a step leading to system testing. Approach Some different types of integration testing are big-bang, mixed (sandwich), risky-hardest, top-down, and bottom-up. Other Integration PatternsBinder, Robert V.: '' ...
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Software Testing
Software testing is the act of checking whether software satisfies expectations. Software testing can provide objective, independent information about the Quality (business), quality of software and the risk of its failure to a User (computing), user or sponsor. Software testing can determine the Correctness (computer science), correctness of software for specific Scenario (computing), scenarios but cannot determine correctness for all scenarios. It cannot find all software bug, bugs. Based on the criteria for measuring correctness from an test oracle, oracle, software testing employs principles and mechanisms that might recognize a problem. Examples of oracles include specifications, Design by Contract, contracts, comparable products, past versions of the same product, inferences about intended or expected purpose, user or customer expectations, relevant standards, and applicable laws. Software testing is often dynamic in nature; running the software to verify actual output ...
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Atomicity (database Systems)
In database systems, atomicity (; from ) is one of the ACID (''Atomicity, Consistency, Isolation, Durability'') transaction properties. An atomic transaction is an ''indivisible'' and '' irreducible'' series of database operations such that either ''all'' occur, or ''none'' occur. A guarantee of atomicity prevents partial database updates from occurring, because they can cause greater problems than rejecting the whole series outright. As a consequence, the transaction cannot be observed to be in progress by another database client. At one moment in time, it has not yet happened, and at the next it has already occurred in whole (or nothing happened if the transaction was cancelled in progress). An example of transaction atomicity could be a digital monetary transfer from bank account A to account B. It consists of two operations, debiting the money from account A and crediting it to account B. Performing both of these operations inside of an atomic transaction ensures that the da ...
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Continuous Integration
Continuous integration (CI) is the practice of integrating source code changes frequently and ensuring that the integrated codebase is in a workable state. Typically, developers Merge (version control), merge changes to an Branching (revision control), integration branch, and an automated system Software build, builds and software testing, tests the software system. Often, the automated process runs on each Commit (version control), commit or runs on a schedule such as once a day. Grady Booch first proposed the term CI in Booch method, 1991, although he did not advocate integrating multiple times a day, but later, CI came to include that aspect. History The earliest known work (1989) on continuous integration was the Infuse environment developed by G. E. Kaiser, D. E. Perry, and W. M. Schell. In 1994, Grady Booch used the phrase continuous integration in ''Object-Oriented Analysis and Design with Applications'' (2nd edition) to explain how, when developing using micro ...
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Functional Testing
In software development, functional testing is a form of software testing that verifies whether a system meets its functional requirements.ISO/IEC/IEEE 24765:2017, "Systems and software engineering — Vocabulary", International Organization for Standardization, Geneva, Switzerland, 2017. Generally, functional testing is black-box, meaning the internal program structure is ignored (unlike for white-box testing).Kaner, Falk, Nguyen. ''Testing Computer Software''. Wiley Computer Publishing, 1999, p. 42. . Sometimes, functional testing is a quality assurance (QA) process.Prasad, Dr. K.V.K.K. (2008) ''ISTQB Certification Study Guide'', Wiley, , p. vi As a form of system testing, functional testing tests slices of functionality of the whole system. Despite similar naming, functional testing is not testing the code of a single function. The concept of incorporating testing earlier in the delivery cycle is not restricted to functional testing. Types Functional testing include ...
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Design Predicates
Design predicates are a method invented by Thomas McCabe, to quantify the complexity of the integration of two units of software. Each of the four types of design predicates have an associated integration complexity rating. For pieces of code that apply more than one design predicate, integration complexity ratings can be combined. The sum of the integration complexity for a unit of code, plus one, is the maximum number of test cases necessary to exercise the integration fully. Though a test engineer can typically reduce this by covering as many previously uncovered design predicates as possible with each new test. Also, some combinations of design predicates might be logically impossible. Types of Calls Unconditional Call Unit A always calls unit B. This has an integration complexity of 0. For example: unitA::functionA() Conditional Call Unit A may or may not call unit B. This integration has a complexity of 1, and needs two tests: one that calls B, and one that doesn't. un ...
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CruiseControl
In software development, CruiseControl is a Java-based framework for a continuous build process. It includes, but is not limited to, plugins for email notification, Ant, and various source control tools. A web interface is provided to view the details of the current and previous builds. It allows one to perform a continuous integration of any software development process. CruiseControl is free, open-source software, distributed under a BSD-style license. It was one of the first of its kind of software,{{Cite news, url=https://circleci.com/blog/a-brief-history-of-devops-part-iii-automated-testing-and-continuous-integration/, title=A Brief History of DevOps, Part III: Automated Testing and Continuous Integration, date=2018-02-01, work=CircleCI, access-date=2018-05-19, language=en originally created by employees of ThoughtWorks to allow for continuous integration on a project they were working on. It was later extracted into a stand-alone application. There is a version of Cruis ...
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Continuous Integration
Continuous integration (CI) is the practice of integrating source code changes frequently and ensuring that the integrated codebase is in a workable state. Typically, developers Merge (version control), merge changes to an Branching (revision control), integration branch, and an automated system Software build, builds and software testing, tests the software system. Often, the automated process runs on each Commit (version control), commit or runs on a schedule such as once a day. Grady Booch first proposed the term CI in Booch method, 1991, although he did not advocate integrating multiple times a day, but later, CI came to include that aspect. History The earliest known work (1989) on continuous integration was the Infuse environment developed by G. E. Kaiser, D. E. Perry, and W. M. Schell. In 1994, Grady Booch used the phrase continuous integration in ''Object-Oriented Analysis and Design with Applications'' (2nd edition) to explain how, when developing using micro ...
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Apache Ant
Apache Ant is a software tool for automating software build processes for Java applications which originated from the Apache Tomcat project in early 2000 as a replacement for the Make build tool of Unix. It is similar to Make, but is implemented using the Java language and requires the Java platform. Unlike Make, which uses the Makefile format, Ant uses XML to describe the code build process and its dependencies. Released under an Apache License by the Apache Software Foundation, Ant is an open-source project. History Ant ("Another Neat Tool") was conceived by James Duncan Davidson while preparing Sun Microsystems's reference JSP and Servlet engine, later Apache Tomcat, for release as open-source. A proprietary version of Make was used to build it on the Solaris platform, but in the open-source world, there was no way of controlling which platform was used to build Tomcat; so Ant was created as a simple platform-independent tool to build Tomcat from directives in an XM ...
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Database Transactions
A database transaction symbolizes a unit of work, performed within a database management system (or similar system) against a database, that is treated in a coherent and reliable way independent of other transactions. A transaction generally represents any change in a database. Transactions in a database environment have two main purposes: # To provide reliable units of work that allow correct recovery from failures and keep a database consistent even in cases of system failure. For example: when execution prematurely and unexpectedly stops (completely or partially) in which case many operations upon a database remain uncompleted, with unclear status. # To provide isolation between programs accessing a database concurrently. If this isolation is not provided, the programs' outcomes are possibly erroneous. In a database management system, a transaction is a single unit of logic or work, sometimes made up of multiple operations. Any logical calculation done in a consistent mode in ...
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Unit Testing
Unit testing, component or module testing, is a form of software testing by which isolated source code is tested to validate expected behavior. Unit testing describes tests that are run at the unit-level to contrast testing at the Integration testing, integration or System testing, system level. History Unit testing, as a principle for testing separately smaller parts of large software systems, dates back to the early days of software engineering. In June 1956 at US Navy's Symposium on Advanced Programming Methods for Digital Computers, H.D. Benington presented the Semi-Automatic Ground Environment, SAGE project. It featured a specification-based approach where the coding phase was followed by "parameter testing" to validate component subprograms against their specification, followed then by an "assembly testing" for parts put together. In 1964, a similar approach is described for the software of the Project Mercury, Mercury project, where individual units developed by dif ...
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Exception Handling
In computing and computer programming, exception handling is the process of responding to the occurrence of ''exceptions'' – anomalous or exceptional conditions requiring special processing – during the execution of a program. In general, an exception breaks the normal flow of execution and executes a pre-registered ''exception handler''; the details of how this is done depend on whether it is a hardware or software exception and how the software exception is implemented. Exceptions are defined by different layers of a computer system, and the typical layers are CPU-defined interrupts, operating system (OS)-defined signals, programming language-defined exceptions. Each layer requires different ways of exception handling although they may be interrelated, e.g. a CPU interrupt could be turned into an OS signal. Some exceptions, especially hardware ones, may be handled so gracefully that execution can resume where it was interrupted. Definition The definition of an excep ...
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