Improving after-the-fact tracing and mapping: Supporting software quality predictions

Jane Huffman Hayes; Alex Dekhtyar; Senthil Karthikeyan Sundaram

doi:10.1109/MS.2005.156

Improving after-the-fact tracing and mapping: Supporting software quality predictions

Jane Huffman Hayes
, Alex Dekhtyar
, Senthil Karthikeyan Sundaram

Computer Science

Producción científica: Article › revisión exhaustiva

40 Citas (Scopus)

Resumen

The requirements traceability matrix can successfully predict quality before code is written. However, its tedious development process, requiring analysts to manually discover and vet links between artifact levels, has stymied widespread adoption. The authors' tracing toolkit, called Retro (Requirements Tracing on Target), automates the information retrieval process, making RTM's development easier. Backed by empirical results, the authors describe Retro's advantages over other information retrieval approaches.

Idioma original	English
Páginas (desde-hasta)	30-37
Número de páginas	8
Publicación	IEEE Software
Volumen	22
N.º	6
DOI	https://doi.org/10.1109/MS.2005.156
Estado	Published - nov 2005

Nota bibliográfica

Funding Information:
NASA funds our work under grant NAG5-11732. We thank Stephanie Ferguson and Ken McGill. We also thank the Metrics Data Program, Mike Chapman, and the MODIS program. We also thank our students who worked on RETRO: James Osborne, Sarah Howard, Ganapathy Chidambaram, and Sravanthi Vadlamudi.

Financiación

NASA funds our work under grant NAG5-11732. We thank Stephanie Ferguson and Ken McGill. We also thank the Metrics Data Program, Mike Chapman, and the MODIS program. We also thank our students who worked on RETRO: James Osborne, Sarah Howard, Ganapathy Chidambaram, and Sravanthi Vadlamudi.

Financiadores	Número del financiador
National Aeronautics and Space Administration	NAG5-11732

ASJC Scopus subject areas

Software

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Improving after-the-fact tracing and mapping: Supporting software quality predictions

Resumen

Nota bibliográfica

Financiación

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