Supporting traceability through affinity mining

Gervasi, V; Zowghi, D

Supporting traceability through affinity mining

Gervasi, V Zowghi, D

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Publication Type:: Conference Proceeding
Citation:: 2014 IEEE 22nd International Requirements Engineering Conference, RE 2014 - Proceedings, 2014, pp. 143 - 152
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Gervasi, V	en_US
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	2014 IEEE 22nd International Requirements Engineering Conference, RE 2014 - Proceedings, 2014, pp. 143 - 152	en_US
dc.identifier.isbn	9781479930333	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32285
dc.description.abstract	© 2014 IEEE. Traceability among requirements artifacts (and beyond, in certain cases all the way to actual implementation) has long been identified as a critical challenge in industrial practice. Manually establishing and maintaining such traces is a highskill, labour-intensive job. It is often the case that the ideal person for the job also has other, highly critical tasks to take care of, so offering semi-automated support for the management of traces is an effective way of improving the efficiency of the whole development process. In this paper, we present a technique to exploit the information contained in previously defined traces, in order to facilitate the creation and ongoing maintenance of traces, as the requirements evolve. A case study on a reference dataset is employed to measure the effectiveness of the technique, compared to other proposals from the literature.	en_US
dc.relation.ispartof	2014 IEEE 22nd International Requirements Engineering Conference, RE 2014 - Proceedings	en_US
dc.relation.isbasedon	10.1109/RE.2014.6912256	en_US
dc.title	Supporting traceability through affinity mining	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	080309 Software Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Graduate Research School
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Strength - STEM Education Futures
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. Traceability among requirements artifacts (and beyond, in certain cases all the way to actual implementation) has long been identified as a critical challenge in industrial practice. Manually establishing and maintaining such traces is a highskill, labour-intensive job. It is often the case that the ideal person for the job also has other, highly critical tasks to take care of, so offering semi-automated support for the management of traces is an effective way of improving the efficiency of the whole development process. In this paper, we present a technique to exploit the information contained in previously defined traces, in order to facilitate the creation and ongoing maintenance of traces, as the requirements evolve. A case study on a reference dataset is employed to measure the effectiveness of the technique, compared to other proposals from the literature.

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http://hdl.handle.net/10453/32285