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10.1109/RE.2010.33guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Application of Swarm Techniques to Requirements Engineering: Requirements Tracing

Published: 27 September 2010 Publication History

Abstract

We posit that swarm intelligence can be applied to effectively address requirements engineering problems. Specifically, this paper demonstrates the applicability of swarm intelligence to the requirements tracing problem using a simple ant colony algorithm. The technique has been validated using two real-world datasets from two problem domains. The technique can generate requirements traceability matrices (RTMs) between textual requirements artifacts (high level requirements traced to low level requirements, for example) with equivalent or better accuracy than traditional information retrieval techniques.

Cited By

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  • (2020)A fine-grained requirement traceability evolutionary algorithmInformation and Software Technology10.1016/j.infsof.2019.106235119:COnline publication date: 1-Mar-2020
  • (2018)A Survey on Machine Learning Based Requirement Prioritization TechniquesProceedings of the 2018 International Conference on Computational Intelligence and Intelligent Systems10.1145/3293475.3293480(51-55)Online publication date: 17-Nov-2018
  • (2018)Automatic classification of software artifacts in open-source applicationsProceedings of the 15th International Conference on Mining Software Repositories10.1145/3196398.3196446(414-425)Online publication date: 28-May-2018
  • Show More Cited By

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Published In

cover image Guide Proceedings
RE '10: Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
September 2010
372 pages
ISBN:9780769541624

Publisher

IEEE Computer Society

United States

Publication History

Published: 27 September 2010

Author Tags

  1. information retrieval
  2. requirements traceability
  3. software engineering
  4. swarms

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Cited By

View all
  • (2020)A fine-grained requirement traceability evolutionary algorithmInformation and Software Technology10.1016/j.infsof.2019.106235119:COnline publication date: 1-Mar-2020
  • (2018)A Survey on Machine Learning Based Requirement Prioritization TechniquesProceedings of the 2018 International Conference on Computational Intelligence and Intelligent Systems10.1145/3293475.3293480(51-55)Online publication date: 17-Nov-2018
  • (2018)Automatic classification of software artifacts in open-source applicationsProceedings of the 15th International Conference on Mining Software Repositories10.1145/3196398.3196446(414-425)Online publication date: 28-May-2018
  • (2017)Analyzing the impact of natural language processing over feature location in modelsACM SIGPLAN Notices10.1145/3170492.313605252:12(63-76)Online publication date: 23-Oct-2017
  • (2017)Analyzing the impact of natural language processing over feature location in modelsProceedings of the 16th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences10.1145/3136040.3136052(63-76)Online publication date: 23-Oct-2017
  • (2013)An approach for restructuring text contentProceedings of the 2013 International Conference on Software Engineering10.5555/2486788.2486969(1225-1228)Online publication date: 18-May-2013
  • (2011)Mining requirements linksProceedings of the 17th international working conference on Requirements engineering: foundation for software quality10.5555/1987360.1987387(196-201)Online publication date: 28-Mar-2011
  • (2011)Requirements tracingProceedings of the 33rd International Conference on Software Engineering10.1145/1985793.1986033(1173-1175)Online publication date: 21-May-2011

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