Hybrid Regression Test Selection

Lingming Zhang
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引用次数: 93

Abstract

Regression testing is crucial but can be extremely costly. Regression Test Selection (RTS) aims to reduce regression testing cost by only selecting and running the tests that may be affected by code changes. To date, various RTS techniques analyzing at different granularities (e.g., at the basic-block, method, and file levels) have been proposed. RTS techniques working on finer granularities may be more precise in selecting tests, while techniques working on coarser granularities may have lower overhead. According to a recent study, RTS at the file level (FRTS) can have less overall testing time compared with a finer grained technique at the method level, and represents state-of-the-art RTS. In this paper, we present the first hybrid RTS approach, HyRTS, that analyzes at multiple granularities to combine the strengths of traditional RTS techniques at different granularities. We implemented the basic HyRTS technique by combining the method and file granularity RTS. The experimental results on 2707 revisions of 32 projects, totalling over 124 Million LoC, demonstrate that HyRTS outperforms state-of-the-art FRTS significantly in terms of selected test ratio and the offline testing time. We also studied the impacts of each type of method-level changes, and further designed two new HyRTS variants based on the study results. Our additional experiments show that transforming instance method additions/deletions into file-level changes produces an even more effective HyRTS variant that can significantly outperform FRTS in both offline and online testing time.
混合回归检验选择
回归测试是至关重要的,但可能非常昂贵。回归测试选择(RTS)旨在通过只选择和运行可能受代码更改影响的测试来减少回归测试的成本。到目前为止,已经提出了在不同粒度(例如,在基本块、方法和文件级别)上分析的各种RTS技术。处理更细粒度的RTS技术在选择测试时可能更精确,而处理更粗粒度的技术可能开销更低。根据最近的一项研究,与方法级别的细粒度技术相比,文件级别的RTS (FRTS)可以节省更少的总体测试时间,并且代表了最先进的RTS。在本文中,我们提出了第一种混合RTS方法,HyRTS,它在多个粒度上进行分析,以结合传统RTS技术在不同粒度上的优势。我们通过结合方法和文件粒度RTS来实现基本的HyRTS技术。通过对32个项目2707次修订,总计超过1.24亿LoC的实验结果表明,HyRTS在选择测试比例和离线测试时间方面明显优于最先进的FRTS。我们还研究了每种方法水平变化的影响,并根据研究结果进一步设计了两种新的HyRTS变体。我们的其他实验表明,将实例方法的添加/删除转换为文件级更改会产生更有效的HyRTS变体,在离线和在线测试时间内都能显著优于FRTS。
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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