Remco C. de Boer
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.
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