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- 1Latent Dirichlet allocation
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Automated Topic Naming Supporting Cross-project Analysis of Software Maintenance Activities
Download2013
Hindle, Abram, Ernst, N.A., Godfrey, M.W., Mylopoulos, J.
Software repositories provide a deluge of software artifacts to analyze. Researchers have attempted to summarize, categorize, and relate these artifacts by using semi-unsupervised machine-learning algorithms, such as Latent Dirichlet Allocation (LDA). LDA is used for concept and topic analysis to...
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Automated topic naming to support cross-project analysis of software maintenance activities
Download2011
Hindle, Abram, Ernst, N., Godfrey, M.M., Mylopoulos, J.
Researchers have employed a variety of techniques to extract underlying topics that relate to software development artifacts. Typically, these techniques use semi-unsupervised machine-learning algorithms to suggest candidate word-lists. However, word-lists are difficult to interpret in the...