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Software Vaccination: An Artificial Immune System Approach to Mutation Testing

机译:软件疫苗接种:突变检测中的人工免疫系统方法

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Over time programming languages develop, paradigms evolve, development teams change. The effect of this is that test suites wear out, therefore these also need to evolve. Mutation testing is an effective fault-based testing approach, but it is computationally expensive. Any evolutionary based approach to this process needs to simultaneously manage execution costs. In this conceptual paper we adopt immune systems as a metaphor for the basis of an alternative mutation testing system. It is envisaged that through monitoring of the development environment, a minimal set of effective mutations and test cases can be developed - a 'vaccine' - that can be applied to the software development process to protect it from errors - from infections.
机译:随着时间的推移编程语言发展,范式发展,开发团队改变。这的效果是测试套件磨损,因此这些也需要进化。突变测试是一种有效的基于故障的测试方法,但它是计算昂贵的。任何基于进化的此过程的方法都需要同时管理执行成本。在这种概念纸上,我们在替代突变测试系统的基础上采用免疫系统作为隐喻。设想,通过监测开发环境,可以开发最小的有效突变和测试用例 - 一个“疫苗” - 可以应用于软件开发过程以保护其免受感染的影响。

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