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dc.contributor.authorCao, Lan
dc.contributor.authorRamesh, Balasubramaniam
dc.contributor.authorAbdel-Hamid, Tarek
dc.date.accessioned2014-11-04T18:21:39Z
dc.date.available2014-11-04T18:21:39Z
dc.date.issued2010-12
dc.identifier.citationACMTransactions on Management, Information Systems,Vol. 1, No. 1, Article 5, Publication date: December 2010.
dc.identifier.urihttp://hdl.handle.net/10945/43632
dc.descriptionThe article of record as published may be located at http://dx.doi.org/10.1145/1877725.1877730en_US
dc.description.abstractChanges in the business environment such as turbulent market forces, rapidly evolving system requirements, and advances in technology demand agility in the development of software systems. Though agile approaches have received wide attention, empirical research that evaluates their effectiveness and appropriateness is scarce. Further, research to-date has investigated individual practices in isolation rather than as an integrated system. Addressing these concerns, we develop a system dynamics simulation model that considers the complex interdependencies among the variety of practices used in agile development. The model is developed on the basis of an extensive review of the literature as well as quantitative and qualitative data collected from real projects in nine organizations. We present the structure of the model focusing on essential agile practices. The validity of the model is established based on extensive structural and behavioral validation tests. Insights gained from experimentation with the model answer important questions faced by development teams in implementing two unique practices used in agile development. The results suggest that due to refactoring, the cost of implementing changes to a system varies cyclically and increases during later phases of development.Delays in refactoring also increase costs and decrease development productivity. Also, the simulation shows that pair programming helps complete more tasks and at a lower cost. The systems dynamics model developed in this research can be used as a tool by IS organizations to understand and analyze the impacts of various agile development practices and project management strategies.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleModeling Dynamics in Agile Software Developmenten_US
dc.typeArticleen_US
dc.contributor.departmentInformation Sciences (IS)
dc.subject.authorAgile software developmenten_US
dc.subject.authorsimulationen_US
dc.subject.authorprocess modelingen_US
dc.subject.authorsystem dynamicsen_US


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