资源论文Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization

Demystifying the Combination of Dynamic Slicing and Spectrum-based Fault Localization

2019-10-10 | |  51 |   45 |   0
Abstract Several approaches have been proposed to reduce debugging costs through automated software fault diagnosis. Dynamic Slicing (DS) and Spectrumbased Fault Localization (SFL) are popular fault diagnosis techniques and normally seen as complementary. This paper reports on a comprehensive study to reassess the effects of combining DS with SFL. With this combination, components that are often involved in failing but seldom in passing test runs could be located and their suspiciousness reduced. Results show that the DS-SFL combination, coined as Tandem-FL, improves the diagnostic accuracy up to 73.7% (13.4% on average). Furthermore, results indicate that the risk of missing faulty statements, which is a DS’s key limitation, is not high — DS misses faulty statements in 9% of the 260 cases. To sum up, we found that the DS-SFL combination was practical and effective and encourage new SFL techniques to be evaluated against that optimization

上一篇:Data Poisoning Attack against Knowledge Graph Embedding

下一篇:Dual-Path in Dual-Path Network for Single Image Dehazing

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...