Search based software testing with genetic using fitness function

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH) Pub Date : 2014-11-01 DOI:10.1109/CIPECH.2014.7019065

Gautam M. Lodha, R. S. Gaikwad

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引用次数: 6

Abstract

Software engineering is deal with development activity in which testing is an important part. in testing if it is possible to generate an test case for code then it is easy task to find error in program so white box testing is possible using search base algorithm. in software testing white box testing is test an code which is used to develop an software. In this article purposed system is use genetic algorithm. Software testing is branch of software engineering in which testing performing vital role in any kind of software system. basically testing is noting but to find out bug as early as possible. in other words testing is intention to find out the error from software program. Software testing is an essential but expensive activity in software development life cycle and hence much research effort has been put into automation of software testing. In software testing it is interested to see how well a series of test input test a piece of code with intention to find out bug.

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基于搜索的软件测试与遗传使用适应度函数

软件工程处理的是开发活动，其中测试是一个重要的部分。在测试中，如果有可能为代码生成一个测试用例，那么在程序中发现错误就很容易，所以使用搜索基础算法进行白盒测试是可能的。在软件测试中，白盒测试是对用于开发软件的代码进行测试。本文设计的系统是采用遗传算法。软件测试是软件工程的一个分支，测试在任何类型的软件系统中都起着至关重要的作用。基本上，测试只是为了尽早发现bug。换句话说，测试的目的是从软件程序中找出错误。软件测试在软件开发生命周期中是一项必要但昂贵的活动，因此在软件测试自动化方面投入了大量的研究工作。在软件测试中，我们感兴趣的是看看一系列测试输入测试一段代码的效果如何，以便找出bug。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH)

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