Behavior-driven requirements traceability via automated acceptance tests

Lucassen, G; Dalpiaz, F; Van Der Werf, JMEM; Brinkkemper, S; Zowghi, D

Behavior-driven requirements traceability via automated acceptance tests

Lucassen, G Dalpiaz, F Van Der Werf, JMEM Brinkkemper, S Zowghi, D

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017, 2017, pp. 431 - 434
Issue Date:: 2017-09-29

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Field	Value	Language
dc.contributor.author	Lucassen, G	en_US
dc.contributor.author	Dalpiaz, F	en_US
dc.contributor.author	Van Der Werf, JMEM	en_US
dc.contributor.author	Brinkkemper, S	en_US
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155	en_US
dc.date.issued	2017-09-29	en_US
dc.identifier.citation	Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017, 2017, pp. 431 - 434	en_US
dc.identifier.isbn	9781538634882	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118974
dc.description.abstract	© 2017 IEEE. Although information retrieval advances significantly improved automated traceability tools, their accuracy is still far from 100% and therefore they still need human intervention. Furthermore, despite the demonstrated benefits of traceability, many practitioners find the overhead for its creation and maintenance too high. We propose the Behavior Driven Traceability Method (BDT) that takes a different standpoint on automated traceability: we establish ubiquitous traceability between user story requirements and source code by taking advantage of the automated acceptance tests that are created as part of the Behavior Driven Development process.	en_US
dc.relation.ispartof	Proceedings - 2017 IEEE 25th International Requirements Engineering Conference Workshops, REW 2017	en_US
dc.relation.isbasedon	10.1109/REW.2017.84	en_US
dc.title	Behavior-driven requirements traceability via automated acceptance tests	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	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:

© 2017 IEEE. Although information retrieval advances significantly improved automated traceability tools, their accuracy is still far from 100% and therefore they still need human intervention. Furthermore, despite the demonstrated benefits of traceability, many practitioners find the overhead for its creation and maintenance too high. We propose the Behavior Driven Traceability Method (BDT) that takes a different standpoint on automated traceability: we establish ubiquitous traceability between user story requirements and source code by taking advantage of the automated acceptance tests that are created as part of the Behavior Driven Development process.

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http://hdl.handle.net/10453/118974