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A market based approach for resolving resource constrained task allocation problems in a software development process

Yilmaz, Murat and O'Connor, Rory (2012) A market based approach for resolving resource constrained task allocation problems in a software development process. In: 19th European Conference on Systems, Software and Services Process Improvement (EuroSPI 2012), 25-27 June 2012, Vienna, Austria.

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We consider software development as an economic activity, where goods and services can be modeled as a resource constrained task allocation problem. This paper introduces a market based mechanism to overcome task allocation issues in a software development process. It proposes a mechanism with a prescribed set of rules, where valuation is based on the behaviors of stakeholders such as biding for a task. A bid process ensures that a stakeholder, who values the resource most, will have it allocated for a limited number of times. To observe the bidders behaviors, we initiate an approach incorporated with a process simulation model. Our preliminary results support the idea that our model is useful for optimizing the value based task allocations, creating a market value for the project assets, and for achieving proper allocation of project resources specifically on large scale software projects.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:Software Process Improvement; Game Theory,Process Simulation; Mechanism Design; Auction Mechanism; Task Allocations
Subjects:Computer Science > Software engineering
DCU Faculties and Centres:Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Systems, Software and Services Process Improvement. Communications in Computer and Information Science 301. Springer-Verlag.
Official URL:
Copyright Information:© 2012 Springer-Verlag The original publication is available at
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17612
Deposited On:05 Dec 2012 11:24 by Rory O'Connor. Last Modified 22 Feb 2017 12:56

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