Improving After-the-Fact Tracing and Mapping: Supporting Software Quality Predictions

Authors:
Jane Huffman Hayes;Alex Dekhtyar;Senthil Karthekeyan Sundaram
Affiliations:
University of Kentucky;University of Kentucky;University of Kentucky
Venue:
IEEE Software
Year:
2005

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Abstract

The requirements traceability matrix has proven successful as a way to predict quality before code is written. However, its tedious development process, which requires that analysts manually discover and vet links between artifact levels has stymied its widespread adoption. Our tracing toolkit, called RETRO (Requirements Tracing on Target), automates the information retrieval process, making RTM's development easier. Backed by empirical results, we describe RETRO驴s advantages over other information retrieval approaches. This article is part of a special issue on predictor modeling.