Achieving on-time delivery: a two-stage probabilistic scheduling strategy for software projects

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Chen, Jinjun

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Achieving on-time delivery: a two-stage probabilistic scheduling strategy for software projects

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/60724

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Title: Achieving on-time delivery: a two-stage probabilistic scheduling strategy for software projects
Author(s): Liu, Xiao; Yang, Yun; Chen, Jinjun; Wang, Qing; Li, Mingshu
Abstract: Due to the uncertainty of software processes, statistic based schedule estimation and stochastic project scheduling both play significant roles in software project management. However, most current work investigates them independently without an integrated process to achieve on-time delivery for software development organisations. For such an issue, this paper proposes a two-stage probabilistic scheduling strategy which aims to decrease schedule overruns. Specifically, a probability based temporal consistency model is employed at the first pre-scheduling stage to support a negotiation between customers and project managers for setting balanced deadlines of individual software processes. At the second scheduling stage, an innovative genetic algorithm based scheduling strategy is proposed to minimise the overall completion time of multiple software processes with individual deadlines. The effectiveness of our strategy in achieving on-time delivery is verified with large scale simulation experiments.
Publication type: Conference paper
Research centre: Swinburne University of Technology. Faculty of Information and Communication Technologies
Source: Lecture notes in computer science: Trustworthy software development processes: proceedings of the International Conference on Software Processes (ICSP 2009), Vancouver, Canada, 16-17 May 2009 / Qing Wang, Vahid Garousi, Raymond Madachy, Dietmar Pfahl (eds.), Vol. 5543, pp. 317-329
Publication year: 2009
Keyword(s): Algorithms; Probabilistic strategy; Project management; Scheduling; Software processes
Publisher: Springer
ISSN: 0302-9743 (series ISSN)
ISBN: 9783642016790, 3642016790
Publisher URL: http://dx.doi.org/10.1007/978-3-642-01680-6_29
Peer reviewed