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Towards Scalability of Graph-Mining Based Bug Localisation

Eichinger, Frank; Böhm, Klemens

Abstract:

(Semi-)automated bug localisation is an important issue in software engineering. Recent techniques based on call graphs and graph mining can locate bugs in relatively small programs, but do not scale for real-world applications. In this paper we describe a bug-localisation approach based on graph mining that has this property, at least according to preliminary experiments. Our main contribution is the definition and analysis of class-level call graphs, with encouraging results.


Volltext §
DOI: 10.5445/IR/1000012601
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2009
Sprache Englisch
Identifikator urn:nbn:de:swb:90-126017
KITopen-ID: 1000012601
Erschienen in Proceedings of the 7th International Workshop on Mining and Learning with Graphs (MLG), Leuven, Belgium. Eds.: H. Blockeel, K.Borgwardt, X. Yan
Verlag Leuven
Bemerkung zur Veröffentlichung http://www.ipd.uka.de/~eichi/papers/eichinger09towards.pdf
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