Review of Ant Colony Optimization for Software Project Scheduling and Staffing with an Event Based Scheduler
Keywords:
Ant colony optimization, discrete optimization, Hybridization, Project Scheduling, Event based schedulerAbstract
Software project scheduling is one of the most important scheduling areas faced by software project management team. For a successful project, both software engineering and software management are very necessary. To complete the software project within a specified time limit, allocate a start and end date that determine the milestones and outcomes of the tasks and, determine which tasks depend on another task to complete its operation. It does the task of save time, build consistency, enhance visibility scheduling is very essential. There are several software project management resources and schedule estimation methods have been developed. Here, represents review of some of these software project scheduling techniques which are used recently and are helpful in handling the various type of scheduling used in software projects.
References
V.Karthiga and K.Sumangala “A Hybrid approach for software project scheduling” International Journal of Computer Applications (0975 – 8887) Volume 59– No.16, December 2012
k.n.vitekar, s.a.dhanawe, d.b.hanchate “a review of various software project scheduling techniquesRamandeep Kaur et al. International Journal of Computer Science & Engineering Technology (IJCSET)
Filomena Ferrucci, Mark Harman, Federica Sarro “Meta-Heuristic Algorithm Based On Ant Colony Optimization Algorithm And Project Scheduling Problem (Psp) For The Traveling Salesman Problem” Proceedings of the 2013 International Conference on Systems, Control, Signal Processing and Informatics
S. G. Ponnambalam, N. Jawahar and B. S. Girish “An Ant Colony Optimization Algorithm For Flexible Job Shop Scheduling Problem” December 2009
Ramandeep Kaur, Sukhpreet Singh, Dr. Madhuchanda Rakshit “Review Of Solving Software Project Scheduling Problem With Ant Colony Optimization” .International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 4, April 2013
Bo Liu, Hussein A. Abbass, and Bob McKay “.Classification Rule Discovery With Ant Colony Optimization” Feature Article (2005)
Christian Blum “Ant Colony Optimization: Introduction and Recent Trends” Physics of Life Reviews 2 (2005) 353–373
Thomas stäutzlez and marco dorigo “Aco Algorithms For The Traveling Salesman Problems” (2000)
Massimiliano Di Penta, Mark Harman, and Giuliano Antoniol “The Use Of Search-Based Optimization Techniques Schedule And Staff Software Projects: An Approach An Empirical Study“Softw. Pract. Exper., 00(00), 1–7 (2009) Prepared using speauth.cls [Version: 1999/06/11 v1.1a]
Wei-Neng Chen, Member, IEEE, and Jun Zhang, Senior Member, IEEE “Ant Colony Optimization For Project Scheduling And Staffing With An Event-Based Scheduler” ieee transactions on software engineering, vol. 39, no. 1, january 2013
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