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Data-Mining Techniques for Call-Graph-Based Software-Defect Localisation

Eichinger, Frank

Abstract:
Defect localisation is an important problem in software engineering. This dissertation investigates call-graph-mining-based software defect localisation, which supports software developers by providing hints where defects might be located. It extends the state-of-the-art by proposing new graph representations and mining techniques for weighted graphs. This leads to a broader range of detectable defects, to an increased localisation precision and to enhanced scalability.

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Volltext §
DOI: 10.5445/IR/1000023361
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2011
Sprache Englisch
Identifikator urn:nbn:de:swb:90-233614
KITopen-ID: 1000023361
Verlag KIT, Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Programmstrukturen und Datenorganisation (IPD)
Prüfungsdaten 31.05.2011
Referent/Betreuer Prof. K. Böhm
Schlagworte Software-Defect Localisation, Data Mining, Graph Mining, Dynamic Call Graphs, Constraint-Based Mining
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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