用遗传算法分析软件测试中的语句分支和循环覆盖

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2017-10-01 DOI:10.1109/EECSI.2017.8239088

Rizal Broer Bahaweres, Khoirunnisya Zawawi, D. Khairani, Nashrul Hakiem

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引用次数: 10

摘要

软件测试是软件开发过程中的一个重要方面。软件开发过程中大约50%的时间和成本用于软件测试过程。软件测试有两种方法，黑盒测试和白盒测试。本研究采用白盒测试。软件测试可以手动完成，也可以自动完成。基于已有的研究，遗传算法在测试数据生成器等软件测试中得到了广泛的应用。本研究的目的是将遗传算法应用于软件测试，并将结果与人工测试、自动化测试和遗传算法自动化测试进行比较。测试参数是覆盖度量(语句、分支和循环覆盖)和测试时间。本研究的结论是使用遗传算法的自动化测试需要更少的时间和测试用例来达到100%的覆盖率。

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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Analysis of statement branch and loop coverage in software testing with genetic algorithm

Software testing is one important aspect of the software development process. About 50% of the time and cost in the software development process used for software testing process. There are two methods of software testing, black-box testing and white-box testing. This research using white-box testing. Software testing can be done manually or automatically. Based on research conducted, genetic algorithm has been widely implemented in software testing, such as test data generator. The purpose of this study is to apply a genetic algorithm in software testing and comparing the results with manual testing, automated, and automated with genetic algorithm. The test parameters are coverage measurements (statement, branch and loop coverage) and the time of testing. The conclusion of this study is automated testing with genetic algorithm requires fewer time and test cases to achieve coverage of 100%.

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来源期刊

2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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