文章基本信息

标题：Survey of Software Test Case Generation Techniques
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作者：Karambir ; Kuldeep Kaur
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：Software testing is an crucial part of software development which guaranteed the verification and validation process of the software. In order to do software testing we must have to apply the method of mapping the software for all its transition states and individually validating the output for a set of given input. For a any given part of software we will be writing a set of test cases that called test suites and it is used to group together similar test cases. Test suites is a collection of test cases that are planned to be used to test a software program to illustrate that it has some specific set of behaviors. In order to find out how a test case is valid or not for that we do not have specific mechanism. We mostly depend on the software testers understanding of the requirement. The scope of this paper to study different technique use in test cases, for example test case generation using genetic algorithm, test case generation using random based testing, test case generation using Model based testing. The test cases are derived by analyzing the dynamic behavior of the objects due to external and internal stimuli
关键词：Software Testing ;Test case ;Genetic algorithm; Model based testing; Random Testing