Year 2016,
Volume: 6 Issue: 3, 1251 - 1257, 05.11.2016
Abstract
Many optimization
techniques which are inspired by the nature are used in optimization problems.
Genetic Algorithms (GA) is an optimization algorithm, tries to mimic the
natural process of livings. Allowing to survive better generation therefore
inheriting the better qualifications to next generations. In this study genetic
algorithm is used to find the optimal cost for a software project. In order to
evaluate results of the genetic algorithm, a test system based on linear
programming is established. The results indicates that designed genetic
algorithm optimization model successfully calculated the cost of software
project very close to deterministic costs.
References
- Ramzan, M.; Iqbal, M.A.; Jaffar, M.A.; Rauf, A.; Anwar, S.; Shahid, A.A., "Project Scheduling Conflict Identification and Resolution Using Genetic Algorithms," in Information Science and Applications (ICISA), 2010 International Conference on, vol., no., pp.1-6, 21-23 April 2010 doi: 10.1109/ICISA.2010.5480400
- Stellman, Andrew; Greene, Jennifer. “Applied Software Project Management”. O'Reilly Media, 2005
- Xu Ruzhi; Qian leqiu; Jing Xinhai, "CMM-based software risk control optimization," in Information Reuse and Integration, 2003. IRI 2003. IEEE International Conference on , vol., no., pp.499-503, 27-29 Oct. 2003 doi: 10.1109/IRI.2003.1251457
- Kwak, Y. H., & Stoddard, J. (2004). Project risk management: Lessons learned from software development environment. Technovation, 24(11), 915–920.
- Ping Cao; FuJi Chen, "A Risk Control Optimization Model for Software Project," in Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on , vol., no., pp.1-4, 11-13 Dec. 2009 doi: 10.1109/CISE.2009.5362886
- Güney D. D.,Yönetim ve Organizasyon. Nobel Publishing Dağıtım 2007.
- Mirseidova, S.; Atymtayeva, L., "Definition of software metrics for software project development by using fuzzy sets and logic,", Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 vol., no., pp.272-276, 20-24 Nov. 2012doi: 10.1109/SCIS-ISIS.2012.6505336
Year 2016,
Volume: 6 Issue: 3, 1251 - 1257, 05.11.2016
Abstract
References
- Ramzan, M.; Iqbal, M.A.; Jaffar, M.A.; Rauf, A.; Anwar, S.; Shahid, A.A., "Project Scheduling Conflict Identification and Resolution Using Genetic Algorithms," in Information Science and Applications (ICISA), 2010 International Conference on, vol., no., pp.1-6, 21-23 April 2010 doi: 10.1109/ICISA.2010.5480400
- Stellman, Andrew; Greene, Jennifer. “Applied Software Project Management”. O'Reilly Media, 2005
- Xu Ruzhi; Qian leqiu; Jing Xinhai, "CMM-based software risk control optimization," in Information Reuse and Integration, 2003. IRI 2003. IEEE International Conference on , vol., no., pp.499-503, 27-29 Oct. 2003 doi: 10.1109/IRI.2003.1251457
- Kwak, Y. H., & Stoddard, J. (2004). Project risk management: Lessons learned from software development environment. Technovation, 24(11), 915–920.
- Ping Cao; FuJi Chen, "A Risk Control Optimization Model for Software Project," in Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on , vol., no., pp.1-4, 11-13 Dec. 2009 doi: 10.1109/CISE.2009.5362886
- Güney D. D.,Yönetim ve Organizasyon. Nobel Publishing Dağıtım 2007.
- Mirseidova, S.; Atymtayeva, L., "Definition of software metrics for software project development by using fuzzy sets and logic,", Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 vol., no., pp.272-276, 20-24 Nov. 2012doi: 10.1109/SCIS-ISIS.2012.6505336
There are 7 citations in total.
Details
| Subjects | Engineering |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | November 5, 2016 |
| Published in Issue | Year 2016 Volume: 6 Issue: 3 |