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Author de Boer, Remco C.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Software architecture ♦ Knowledge discovery ♦ Architectural knowledge ♦ Knowledge management
Abstract The need for a method for architectural knowledge discovery stems from the difficulty to find relevant architectural knowledge in the documentation that accompanies a software product. This difficulty arises in particular when the document set is very large, and has been expressed by auditors as a need for a "reading guide" during a case study we conducted at a company that performs software product audits. Based on the needs of these auditors, we identify the main characteristics an architectural knowledge discovery method should exhibit. This paper argues that Latent Semantic Analysis (LSA) is a promising technique for architectural knowledge discovery.
Description Affiliation: Vrije Universiteit, Amsterdam, the Netherlands (de Boer, Remco C.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1979-04-01
Publisher Place New York
Journal ACM SIGSOFT Software Engineering Notes (SOEN)
Volume Number 31
Issue Number 5

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Source: ACM Digital Library