Automatic categorization algorithm for evolvable software archive
作者： S. Kawaguchi , P.K. Garg , M. Matsushita , K. Inoue , Z. Source
DOI: 10.1109/IWPSE.2003.1231227
关键词: Software engineering 、 Software system 、 Software metric 、 Algorithm 、 Software evolution 、 Software sizing 、 Computer science 、 Software development 、 Software construction 、 Software analytics 、 Software verification and validation
摘要: The number of software systems is increasing at a rapid rate. For example, SourceForge currently has about sixty thousand registered, twenty-two which were added in the past twelve months. It important for evolution to search and use existing similar from archive. An history an system useful. We may even evolve based on one instead creating it scratch. propose automatic categorization algorithm help finding At present, we leave open issue nature categorization, explore several known approaches including code clones-based similarity metric, decision trees, latent semantic analysis. results applying each gives us some insights into problem space, sets directions further work.
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