Assessing the Threat of Untracked Changes in Software Evolution

André C. Hora, Danilo Silva, M. T. Valente, R. Robbes
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引用次数: 21

Abstract

While refactoring is extensively performed by practitioners, many Mining Software Repositories (MSR) approaches do not detect nor keep track of refactorings when performing source code evolution analysis. In the best case, keeping track of refactorings could be unnecessary work; in the worst case, these untracked changes could significantly affect the performance of MSR approaches. Since the extent of the threat is unknown, the goal of this paper is to assess whether it is significant. Based on an extensive empirical study, we answer positively: we found that between 10 and 21% of changes at the method level in 15 large Java systems are untracked. This results in a large proportion (25%) of entities that may have their histories split by these changes, and a measurable effect on at least two MSR approaches. We conclude that handling untracked changes should be systematically considered by MSR studies.
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评估软件演进中未跟踪变更的威胁
虽然重构被实践者广泛地执行,但许多挖掘软件存储库(MSR)方法在执行源代码演化分析时没有检测或跟踪重构。在最好的情况下,跟踪重构可能是不必要的工作;在最坏的情况下,这些未跟踪的更改可能会显著影响MSR方法的性能。由于威胁的程度是未知的,本文的目标是评估它是否显著。基于广泛的实证研究,我们给出了肯定的回答:我们发现,在15个大型Java系统中,方法级别的更改中有10%到21%没有被跟踪。这导致很大一部分(25%)实体的历史可能因这些变化而分裂,并且对至少两种MSR方法产生了可测量的影响。我们的结论是,MSR研究应该系统地考虑处理未跟踪的变化。
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