A single fault localization technique based on failed test input

A single fault localization technique based on failed test input

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Testing Display Console Faceplate and debugging are very important tasks in software development.Fault localization is a very critical activity in the debugging process and also is one of the most difficult and time-consuming activities.The demand for effective fault localization techniques that can aid developers to the location of faults is high.In this paper, a fault localization technique based on complex network theory named FLCN-S is proposed to improve localization effectiveness on single-fault subject programs.

The proposed technique diagnoses and ranks faulty program statements based on their behavioral anomalies and distance between BOSCH Serie 6 SMV68MD00G Full-size Fully Integrated Dishwasher statements in failed tests execution by utilizing two network centrality measures (degree centrality and closeness centrality).The proposed technique is evaluated on a well-known standard benchmark (Siemens test suite) and four Unix real-life utility subject programs (gzip, sed, flex, and grep).Overall, the results show that FLCN-S is significantly more effective in locating faults in comparison with other techniques.Furthermore, we observed that both degree and closeness centrality play a vital role in the identification of faults.