模型驱动开发环境下分布式反应系统的高效基于重放的回归测试

Majid Babaei, Juergen Dingel
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引用次数: 2

摘要

随着软件的发展,回归测试技术通常用于确保新的更改不会对现有特性产生不利影响。尽管最近取得了一些进展,但分布式系统的回归测试仍然具有挑战性,而且成本极高。现有的技术通常需要在检测到回归之前多次运行故障系统。因此,使用重新执行而不考虑分布式系统固有的非确定性,并且对执行不提供(或低)控制的传统方法在许多方面都是不够的。在本文中,我们提出了MRegTest,这是一个基于重放的回归测试框架,在模型驱动的开发环境中,它促进了检测回归的轨迹的确定性重放,同时为测试变更系统的执行提供了足够的控制。实验结果表明,与使用时间戳和变量值注释跟踪的传统方法相比,MRegTest可以检测几乎所有的回归,同时显着减少跟踪的大小并产生类似的运行时开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Replay-based Regression Testing for Distributed Reactive Systems in the Context of Model-driven Development
As software evolves, regression testing techniques are typically used to ensure the new changes are not adversely affecting the existing features. Despite recent advances, regression testing for distributed systems remains challenging and extremely costly. Existing techniques often require running a failing system several time before detecting a regression. As a result, conventional approaches that use re-execution without considering the inherent non-determinism of distributed systems, and providing no (or low) control over execution are inadequate in many ways. In this paper, we present MRegTest, a replay-based regression testing framework in the context of model-driven development to facilitate deterministic replay of traces for detecting regressions while offering sufficient control for the purpose of testing over the execution of the changed system. The experimental results show that compared to the traditional approaches that annotate traces with timestamps and variable values MRegTest detects almost all regressions while reducing the size of the trace significantly and incurring similar runtime overhead.
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