A practical evaluation of spectrum-based fault localization

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Agentless: Demystifying LLM-based Software Engineering Agents (2024, methodology): “Dynamic FL techniques mainly include spectrum-based FL (SBFL) [47, 25, 24] and mutation-based FL (MBFL) [77, 68, 63].”
A Survey on Software Fault Localization (2016, unknown): “Many studies that evaluate the effectiveness of speciﬁc fault localization techniques have been reported [8], [10], [11], [12], [25], [31], [36], [49], [53], [91], [93], [94], [102], [124], [178], [185], [191], [207], [209], [253], [266], [267], [296], [299], [335], [366], [390], [391], [393],…”
TBar: revisiting template-based automated program repair (2019, background): “, Trantula [19], Ochiai [5]) to calculate the suspiciousness of each statement.”
The DStar Method for Effective Software Fault Localization (2014, methodology): “Because it is not possible to theoretically prove if one fault localization technique shall always be more effective than another, such empirical validation is typically the norm for fault localization studies [1], [3], [8], [23], [25], [31], [39], [40], [42].”
Evaluating and Improving Fault Localization (2017, unknown): “Many studies have evaluated and compared FL techniques [2]–[5], [18], [19], [26], [27], [30], [31], [33], [38], [44], [49].”
Improving bug localization using structured information retrieval (2013, methodology): “Existing techniques can be broadly categorized into two categories: dynamic [1] and static [15].”