A model for spectra-based software diagnosis

By Lee Naish, Hua Jie Lee, Kotagiri Ramamohanarao. TSEM, 2011

542 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/a84c931dfc30b4e52a492e6c970b2a90613601d6

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Citations in the corpus

The DStar Method for Effective Software Fault Localization (2014, methodology): “However, we point out that we also further compare to other contemporary fault localization techniques (such as Crosstab [42], RBF [40], H3b and H3c [39], Tarantula [23], as well as Ochiai [1], [29] and Ochiai2 [27], [29]), and present the corresponding results in Section 5.”
LSH-Preserving Functions and Their Applications (2012, background): “See Table I for a sample of such measures: they find extensive applications in areas like biology, ecology, software diagnosis, etc. [Naish et al. 2011].1 In fact, there is a welldeveloped theory of similarity measures between two sets [Janssens 2006; Gower and Legendre 1986], where the measure is…”
Evaluating and Improving Fault Localization (2017, methodology): “Our results conﬁrm 70% of previously-reported comparisons (such as “Ochiai is better than Tarantula” [26], [27], [31], [44], [49]) and refute 30%.”
A theoretical analysis of the risk evaluation formulas for spectrum-based fault localization (2013, methodology): “…[Naish et al. 2011] 1 2 ( aef aef +anf + aef aef +aep ) Ochiai [Abreu et al. 2006] aefv (aef +anf )(aef +aep) M2 aef aef +anp+2(anf +aep) [Naish et al. 2011] AMPLE2 [Naish et al. 2011] aef aef +anf - aep aep+anp . . . . . aep if aep = 2 Wong3 [Wong et al. 2007] aef - h, where h = . . . .…”
Ask the Mutants: Mutating Faulty Programs for Fault Localization (2014, methodology): “It has been widely adopted as an evaluation metric for FL techniques [13, 19, 31] as well as a theoretical framework that showed hierarchies between SBFL techniques [28, 29].”
A Survey on Software Fault Localization (2016, background): “Ochiai2 [267] is an extension of Ochiai, and its formula is as follows:”
TBar: revisiting template-based automated program repair (2019, methodology): “SBFL techniques rely on the ranking metrics (e.g., Trantula [15], Ochiai [2], Op2 [47], Barinel [3], Dstar[66]) to calculate the sus-piciousness of each statement.”