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유전자 알고리듬을 이용한 소프트웨어 제품라인의 출시 계획 수립

Release Planning in Software Product Lines Using a Genetic Algorithm

  • 유재욱 (동아대학교 경영대학 경영학과)
  • Yoo, Jaewook (Department of Business Administration, Dong-A University)
  • 투고 : 2012.10.22
  • 심사 : 2012.12.04
  • 발행 : 2012.12.31

초록

Release planning for incremental software development is to select and assign features in sequence of releases along a specified planning horizon. It includes the technical precedence inherent in the features, the conflicting priorities as determined by the representative stakeholders, and the balance between required and available resources. The complexity of this consideration is getting more complicated when planning releases in software product lines. The problem is formulated as a precedence-constrained multiple 0-1 knapsack problem. In this research a genetic algorithm is developed for solving the release planning problems in software product lines as well as tests for the proposed solution methodology are conducted using data generated randomly.

키워드

과제정보

연구 과제 주관 기관 : Dong-A University

참고문헌

  1. http://www.sei.cmu.edu/productlines.
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  3. vanden, J.M.V., Akker, Brinkkemper, S., Diepen, G., and Versendaal, J., Software Product Release Planning through Optimization and what-if analysis. Information and Software Technology, 2008, Vol. 50, No. 1-2, p 101-111. https://doi.org/10.1016/j.infsof.2007.10.017
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  7. Taborda, L., Generalized Release Planning for Product Line Architectures. Proceedings of the SPLC, The Third Software Product Lines Conference, Boston, USA, 2004, p 238-254.
  8. Ullah, M. and Ruhe, G., Towards Comprehensive Release Planning for Software Product Lines. Proceedings of the First International Workshop on Software Product Management, Minneapolis/St. Paul, Minnesota, USA, 2006, p 55-59.
  9. Yoo, J., An Exact Solution Approach for Release Planning of Software Product Lines. Journal of the Society of Korea Industrial and Systems Engineering, 2012, Vol. 35, No. 2, p 57-63.

피인용 문헌

  1. 소프트웨어 제품라인의 출시 계획 수립을 위한 탐욕 유전자 알고리듬 vol.36, pp.3, 2013, https://doi.org/10.11627/jkise.2013.36.3.17
  2. 사례 선택 기법을 활용한 앙상블 모형의 성능 개선 vol.39, pp.1, 2012, https://doi.org/10.11627/jkise.2016.39.1.105