Advancing candidate link generation for requirements tracing: The study of methods

Jane Huffman Hayes; Alex Dekhtyar; Senthil Karthikeyan Sundaram

doi:10.1109/TSE.2006.3

Advancing candidate link generation for requirements tracing: The study of methods

Jane Huffman Hayes
, Alex Dekhtyar
, Senthil Karthikeyan Sundaram

Computer Science

Producción científica: Article › revisión exhaustiva

411 Citas (Scopus)

Resumen

This paper addresses the issues related to improving the overall quality of the dynamic candidate link generation for the requirements tracing process for Verification and Validation and Independent Verification and Validation analysts. The contribution of the paper is four-fold: We define goals for a tracing tool based on analyst responsibilities in the tracing process, we introduce several new measures for validating that the goals have been satisfied, we implement analyst feedback in the tracing process, and we present a prototype tool that we built, RETRO (REquirements TRacing On-target), to address these goals. We also present the results of a study used to assess RETRO's support of goals and goal elements that can be measured objectively.

Idioma original	English
Páginas (desde-hasta)	4-19
Número de páginas	16
Publicación	IEEE Transactions on Software Engineering
Volumen	32
N.º	1
DOI	https://doi.org/10.1109/TSE.2006.3
Estado	Published - ene 2006

Nota bibliográfica

Funding Information:
This work is funded by NASA under grant NNG04GP67G. The authors thank Stephanie Ferguson, Ken McGill, and Marcus Fisher. They thank Mike Chapman and the Metrics Data Program. They thank the MODIS project for maintaining their Website that provides such useful data. They thank Ganapathy Chidambaram for his assistance on LSI. They also thank Sarah Howard and James Osborne, who worked on early versions of the software used for the evaluation. They would also like to thank Doug Oard for useful discussions about measurement in Information Retrieval. Last, but not least, they would like to thank the anonymous reviewers for their helpful comments.

Financiación

This work is funded by NASA under grant NNG04GP67G. The authors thank Stephanie Ferguson, Ken McGill, and Marcus Fisher. They thank Mike Chapman and the Metrics Data Program. They thank the MODIS project for maintaining their Website that provides such useful data. They thank Ganapathy Chidambaram for his assistance on LSI. They also thank Sarah Howard and James Osborne, who worked on early versions of the software used for the evaluation. They would also like to thank Doug Oard for useful discussions about measurement in Information Retrieval. Last, but not least, they would like to thank the anonymous reviewers for their helpful comments.

Financiadores	Número del financiador
National Aeronautics and Space Administration	NNG04GP67G

ASJC Scopus subject areas

Software

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title = "Advancing candidate link generation for requirements tracing: The study of methods",

abstract = "This paper addresses the issues related to improving the overall quality of the dynamic candidate link generation for the requirements tracing process for Verification and Validation and Independent Verification and Validation analysts. The contribution of the paper is four-fold: We define goals for a tracing tool based on analyst responsibilities in the tracing process, we introduce several new measures for validating that the goals have been satisfied, we implement analyst feedback in the tracing process, and we present a prototype tool that we built, RETRO (REquirements TRacing On-target), to address these goals. We also present the results of a study used to assess RETRO's support of goals and goal elements that can be measured objectively.",

keywords = "Dynamic link generation, Independent validation and verification (IV\&V), Information retrieval, LSI, Precision, Recall, Requirements tracing, TF-IDF, Verification and validation (V\&V)",

author = "Hayes, \{Jane Huffman\} and Alex Dekhtyar and Sundaram, \{Senthil Karthikeyan\}",

note = "Funding Information: This work is funded by NASA under grant NNG04GP67G. The authors thank Stephanie Ferguson, Ken McGill, and Marcus Fisher. They thank Mike Chapman and the Metrics Data Program. They thank the MODIS project for maintaining their Website that provides such useful data. They thank Ganapathy Chidambaram for his assistance on LSI. They also thank Sarah Howard and James Osborne, who worked on early versions of the software used for the evaluation. They would also like to thank Doug Oard for useful discussions about measurement in Information Retrieval. Last, but not least, they would like to thank the anonymous reviewers for their helpful comments.",

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AB - This paper addresses the issues related to improving the overall quality of the dynamic candidate link generation for the requirements tracing process for Verification and Validation and Independent Verification and Validation analysts. The contribution of the paper is four-fold: We define goals for a tracing tool based on analyst responsibilities in the tracing process, we introduce several new measures for validating that the goals have been satisfied, we implement analyst feedback in the tracing process, and we present a prototype tool that we built, RETRO (REquirements TRacing On-target), to address these goals. We also present the results of a study used to assess RETRO's support of goals and goal elements that can be measured objectively.

KW - Dynamic link generation

KW - Independent validation and verification (IV&V)

KW - Information retrieval

KW - LSI

KW - Precision

KW - Recall

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KW - TF-IDF

KW - Verification and validation (V&V)

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JO - IEEE Transactions on Software Engineering

JF - IEEE Transactions on Software Engineering

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Advancing candidate link generation for requirements tracing: The study of methods

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