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On Mining Concurrency Defect-Related Reports from Bug Repositories

Padberg, Frank; Pfaffe, Philip; Blersch, Martin


We present early findings of two ongoing case studies in which we automatically extract reports about concurrency defects from the MySQL and Apache bug repositories. To mine the unstructured reports, we apply keyword search and machine learning, using linear and non-linear classifiers. We analyze the results in detail and suggest some improvements for this mining task.

Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2013
Sprache Englisch
Identifikator ISBN: 978-1-4799-2932-0
KITopen-ID: 1000055668
Erschienen in 2013 20th Working Conference on Reverse Engineering (WCRE), 14 - 17 Oct. 2013, Koblenz, Germany. Two workshops co-located with WCRE 2013: 3rd Workshop on Mining Unstructured Data (MUD) and 1st Workshop on Open and Original (Obscure) Problems in Software Language Engineering (OOPSLE)
Verlag Institute of Electrical and Electronics Engineers (IEEE)
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