基于构件的软件构建方法目前被广泛使用在软件开发中,用于减少软件开发的工程成本和加快软件开发进度.在软件维护过程中,由于构件更新或者新版本的发布,基于构件的系统会受到影响,需要进行回归测试.对于指定的软件修改需求,维护者可以实施不同的修改手段.不同的修改手段会导致不同的回归测试复杂性,这种复杂性是软件维护成本和有效性的重要因素.目前的研究没有强调构件软件的回归测试复杂性问题.基于修改影响复杂性模型和度量,提出一种回归测试的复杂性度量框架.该度量框架包括两个部分:基于图的模型和形式化度量计算.该度量可以有效表示构件软件分别在构件和系统层面的回归测试复杂性因素,可视化地体现复杂性变化.然后根据模型,提出具体的度量计算方式.最后,通过实验研究,针对同一个构件软件的相同修改需求,利用若干个实验组进行独立修改实施,然后比较回归测试的复杂性.实验结果表明,所提出的度量方式是可行和有效的.

Component-based software construction is a widely used approach in software development, aiming to reduce the engineering effort and speed up development cycle. During software maintenance, various software update approaches can be utilized to realize specific change requirements of component-based software. Different update approaches might lead to diverse regression testing complexity. However, there is a lack of research work addressing regression testing complexity in software maintenance. In this paper, a framework is proposed to measure and analyze regression testing complexity based on a set of change and impact complexity models and metrics. The paper presents an approach to complexity metrics for regression testing of component-based software. A graphic model and several measurements for the complexity metrics, which consist of both maintenance and retesting complexity, are also proposed. An experimental study is conducted to compare the complexity of regression testing using the data from several independent groups. The study results indicate the presented approach is feasible in providing visual comparison on various complexity of regression testing from different methods.

国家自然科学基金(61402229,61202003);国家教育部博士点基金(20113219120021);江苏省博士后基金(1401043B);计算机软件新技术国家重点实验室(南京大学)开放课题(KFKT2015B10)