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URN: urn:nbn:de:swb:90-233614

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.


Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2011
Sprache Englisch
Identifikator KITopen-ID: 1000023361
Verlag 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
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