NDLI: Hierarchy-Debug: a scalable statistical technique for fault localization

Content Provider	Springer Nature Link
Author	Parsa, Saeed Vahidi Asl, Mojtaba Asadi Aghbolaghi, Maryam
Copyright Year	2013
Abstract	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-Debug, is presented in this paper. To analyze the vertical effect of predicates on each other and on program termination status, the predicates are fitted into a logistic lasso model. To support scalability, a hierarchical clustering algorithm is applied to cluster the predicates according to their presence in different executions. Considering each cluster as a pseudo-predicate, a distinct lasso model is built for intermediate levels of the hierarchy. Then, we apply a majority voting technique to score the predicates according to their lasso coefficients at different levels of the hierarchy. The predicates with relatively higher scores are ranked as fault relevant predicates. To provide the context of failure, faulty sub-paths are identified as sequences of fault relevant predicates. The grouping effect of Hierarchy-Debug helps programmers to detect multiple bugs. Four case studies have been designed to evaluate the proposed approach on three well-known test suites, Space, Siemens, and Bash. The evaluations show that Hierarchy-Debug produces more precise results compared with prior fault localization techniques on the subject programs.
Starting Page	427
Ending Page	466
Page Count	40
File Format	PDF
ISSN	09639314
Journal	Software Quality Journal
Volume Number	22
Issue Number	3
e-ISSN	15731367
Language	English
Publisher	Springer US
Publisher Date	2013-04-02
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Statistical bug localization Hierarchical clustering Lasso method Fault relevant predicates Majority voting Faulty sub-paths Multiple bugs Software Engineering/Programming and Operating Systems Programming Languages, Compilers, Interpreters Data Structures, Cryptology and Information Theory Operating Systems
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Media Technology Software

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