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A Model-Driven Approach for Simplified Cluster Based Test Suite Optimization of Industrial Systems - An Introduction to UMLTSO

机译:一种模型驱动方法,用于工业系统的简化集群测试套件优化 - UMLTSO的介绍

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Software testing is a significant but costly activity of software development life cycle, because it accounts for more than fifty-two percent (>52%) of entire development cost. Testing requires the execution of all possible test cases in order to find defects in software. However, the selection and implementation of right test cases is always challenging for large scale industrial systems. In this context, clustering is a renowned approach for achieving optimization. However, it is difficult to optimize test cases through clustering due to its implementation complexity and time-consuming nature. Hence, a model based simple mechanism is strongly needed for optimization of generated test cases while preserving the coverage criterion. In this paper, a Unified Modeling Language profile for Test Suite Optimization (UMLTSO) is presented that models the optimization process for test case generated from Java source code. Particularly, UMLTSO is capable of modeling test case generation, coverage criteria application and optimization using clustering approaches. This offers the rationale for converting the UMLTSO source code into target test cases for optimization based on different coverage criteria e.g. code coverage. The applicability of UMLTSO is validated through two industrial case studies.
机译:软件测试是软件开发生命周期的一个重要但昂贵的活动,因为它占全部开发成本的超过52%(> 52%)。测试需要执行所有可能的测试用例,以便在软件中找到缺陷。但是,右测试案例的选择和实施始终对大型工业系统持挑战性。在这种情况下,聚类是实现优化的着名方法。然而,由于其实现复杂性和耗时的性质,难以通过聚类优化测试用例。因此,强烈需要基于模型的简单机制来优化生成的测试用例,同时保留覆盖标准。在本文中,提出了一种用于测试套件优化(UMLTSO)的统一建模语言配置文件,用于模拟从Java源代码生成的测试用例的优化过程。特别是,UMLTSO能够使用聚类方法建模测试用例生成,覆盖标准应用和优化。这提供了将UMLTSO源代码转换为目标测试用例的基础,以基于不同的覆盖标准,例如:代码覆盖范围。通过两个工业案例研究验证了UMLTSO的适用性。

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