Fault localization based on statement frequency

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• 作者：Ting Shu ; ^{shuting@zstu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Tiantian Ye ^{yetiantian1016@163.com" class="auth_mail" title="E-mail the corresponding author} ; Zuohua Ding ^{zouhuading@hotmail.com" class="auth_mail" title="E-mail the corresponding author} ; Jinsong Xia ^{js_xia@126.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Fault localization ; Tarantula ; Statement frequency ; Effectiveness ; Stability
• 刊名：Information Sciences
• 出版年：2016
• 出版时间：10 September 2016
• 年：2016
• 卷：360
• 期：Complete
• 页码：43-56
• 全文大小：1809 K

文摘

Spectrum-based automatic fault localization techniques play an important role in facilitating the quick and accurate localization of faults in programs. Unfortunately, since these techniques are based on the binary coverage information, counting only the coverage of statements in each execution and ignoring the statement frequency information, their diagnostic accuracies are inherently limited, especially when faults occur in the iteration statements or loop bodies. To address this problem, we introduce statement frequency conception into spectrum-based fault localization (SFL) and then propose a fault localization method based on statement frequency (FLSF). We also conduct a case study involving seven programs in Siemens suite and two risk evaluation formulas to compare the effectiveness of the proposed method against Tarantula. The experimental results show that our method outperforms Tarantula in most situations with regard to stability and effectiveness.