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In many fields of software engineering, studies on human behavior have attracted a lot of attention; however, few such studies exist in automated debugging. Parnin and Orso conducted a pioneering study comparing the performance of programmers in debugging with and without a ranking-based fault localization technique, namely Spectrum-Based Fault Localization (SBFL). In this paper, we revisit the actual...
Because of its simplicity and effectiveness, Spectrum-Based Fault Localization (SBFL) has been one of the popular approaches towards fault localization. It utilizes the execution result of failure or pass, and the corresponding coverage information (such as program slice) to estimate the risk of being faulty for each program entity (such as statement). However, all existing SBFL techniques assume...
Spectrum-based Fault Localization (SBFL) is one of the most popular approaches for locating software faults, and has received much attention because of its simplicity and effectiveness. It utilizes the execution result of each test case (failure or pass) and the corresponding coverage information to evaluate the likelihood of each program entity (e.g., a statement or a predicate) being faulty. Different...
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