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Fault localization via behavioral models

机译:通过行为模型进行故障定位

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摘要

Software errors significantly impact software quality, and improvement of fault localization can reduce the expense of debugging. SBFL is promising approach and have received a lot of attention due to its simplicity and effectiveness. However, there are still some limits in this approach. In this paper we address these limits and present a technique to build a novel behavioral model, and propose a corresponding fault localization technique. Furthermore, we performed a study to empirically validate the effectiveness of our approach. And experimental results indicated that our method outperformed other representative SBFL techniques in locating faults in the benchmark. We show that the effectiveness of the technique comes from the guidance of hierarchical behavioral model.
机译:软件错误会严重影响软件质量,而故障定位的改善可以减少调试的费用。 SBFL是一种很有前途的方法,并且由于其简单性和有效性而受到了广泛的关注。但是,这种方法仍然存在一些限制。在本文中,我们解决了这些限制,并提出了一种建立新型行为模型的技术,并提出了相应的故障定位技术。此外,我们进行了一项研究,以实证验证我们方法的有效性。实验结果表明,在基准定位中,我们的方法优于其他有代表性的SBFL技术。我们表明,该技术的有效性来自分层行为模型的指导。

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