Bug localization using latent Dirichlet allocation

• Published in: Information and software technology Vol. 52; no. 9; pp. 972 - 990
• Main Authors: Lukins, Stacy K., Kraft, Nicholas A., Etzkorn, Letha H.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.09.2010; Elsevier Science Ltd
• Subjects: Accuracy; Bug localization; Computer programs; Debugging; Dirichlet problem; Information retrieval; Large scale integration; Latent Dirichlet allocation; Localization; Open source software; Position (location); Program comprehension; Software; Source code; Stability; Statistical methods; Studies; Program comprehension; Information retrieval; Latent Dirichlet allocation; Bug localization

Some recent static techniques for automatic bug localization have been built around modern information retrieval (IR) models such as latent semantic indexing (LSI). Latent Dirichlet allocation (LDA) is a generative statistical model that has significant advantages, in modularity and extensibility, o...