Recovering documentation-to-source-code traceability links using latent semantic indexing
Proceedings of the 25th International Conference on Software Engineering
Automatic Software Clustering via Latent Semantic Analysis
ASE '99 Proceedings of the 14th IEEE international conference on Automated software engineering
An Information Retrieval Approach to Concept Location in Source Code
WCRE '04 Proceedings of the 11th Working Conference on Reverse Engineering
Journal of Systems and Software
Processes for creating and exploiting architectural design decisions with tool support
ECSA'07 Proceedings of the First European conference on Software Architecture
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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.