원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.10 No.6
2015.06
pp.25-38
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Software Project Management (SPM) is one of the primary factors to software success or failure. SPM has been the bottleneck in software engineering area. We apply an improved Max–Min Ant System algorithm to Software Project Planning to make the appropriate worker-task assignment in a software project so the cost and duration of the project are minimized. Experimental results shows that using this Improved Ant Colony Optimization algorithm can obtain a feasible solution which can help us to get the appropriate PERT Graph and Gantt Chart of the software project, then we can obtain the minimized project duration and cost. So Software project management can been improved.
목차
Abstract
1. Introduction
2. The Model of Software Project Planning
3. The Fitness Function
4. An Improved MMSA Algorithm for Software Project Plan
4.1. Construction Graph for Software Project
4.2. The Pheromone Update Strategy
4.3. Improved MMAS Algorithm
4.4. Algorithm Description
5. Experimental Results
5.1. Model Parameter
5.2. Experimental Report
6. Conclusions
Acknowledgements
References
1. Introduction
2. The Model of Software Project Planning
3. The Fitness Function
4. An Improved MMSA Algorithm for Software Project Plan
4.1. Construction Graph for Software Project
4.2. The Pheromone Update Strategy
4.3. Improved MMAS Algorithm
4.4. Algorithm Description
5. Experimental Results
5.1. Model Parameter
5.2. Experimental Report
6. Conclusions
Acknowledgements
References
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