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Frameworks for Performing on Cloud Automated Software Testing Using Swarm Intelligence Algorithm: Brief Survey

机译:使用群体智能算法在云自动软件测试上执行的框架:简要调查

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This paper surveys on Cloud Based Automated Testing Software that is able to perform Black-box testing, White-box testing, as well as Unit and Integration Testing as a whole. In this paper, we discuss few of the available automated software testing frameworks on the cloud. These frameworks are found to be more efficient and cost effective because they execute test suites over a distributed cloud infrastructure. One of the framework effectiveness was attributed to having a module that accepts manual test cases from users and it prioritize them accordingly. Software testing, in general, accounts for as much as 50% of the total efforts of the software development project. To lessen the efforts, one the frameworks discussed in this paper used swarm intelligence algorithms. It uses the Ant Colony Algorithm for complete path coverage to minimize time and the Bee Colony Optimization (BCO) for regression testing to ensure backward compatibility.
机译:本文对基于云的自动测试软件进行了调查,该软件能够执行黑盒测试,白盒测试以及整个单元和集成测试。在本文中,我们讨论了云上几乎没有可用的自动化软件测试框架。由于这些框架在分布式云基础架构上执行测试套件,因此发现它们效率更高且更具成本效益。该框架的有效性之一归因于拥有一个模块,该模块可以接受用户的手动测试用例,并相应地对它们进行优先排序。通常,软件测试占软件开发项目总工作量的50%。为了减少工作量,本文讨论的一种框架使用了群体智能算法。它使用蚁群算法实现完整的路径覆盖,以最大程度地减少时间,并使用蜂群优化(BCO)进行回归测试,以确保向后兼容。

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