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FPA-FL: Incorporating static fault-proneness analysis into statistical fault localization
Despite the proven applicability of the statistical methods in automatic fault localization,
these approaches are biased by data collected from different executions of the program …
these approaches are biased by data collected from different executions of the program …
Hierarchy-Debug: a scalable statistical technique for fault localization
Considering the fact that faults may be revealed as undesired mutual effect of program
predicates on each other, a new approach for localizing latent bugs, namely Hierarchy …
predicates on each other, a new approach for localizing latent bugs, namely Hierarchy …
FPA-Debug: Effective statistical fault localization considering fault-proneness analysis
The aim is to identify faulty predicates which have strong effect on program failure. Statistical
debugging techniques are amongst best methods for pinpointing defects within the program …
debugging techniques are amongst best methods for pinpointing defects within the program …
Statistical debugging using a hierarchical model of correlated predicates
The aim of statistical debugging is to identify faulty predicates that have strong effect on
program failure. In this paper predicates are fitted into a linear regression model to consider …
program failure. In this paper predicates are fitted into a linear regression model to consider …
Software online bug detection: applying a new kernel method
S Parsa, S Arabi Naree - IET software, 2012 - IET
This study presents a new online bug detection approach for safety critical software systems.
The novelty of the proposed approach is the use of support vector machine (SVM) with a …
The novelty of the proposed approach is the use of support vector machine (SVM) with a …