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Plan-based versus agile software development : a quantitative approach -

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dc.contributor.author Itani, Hiba Jamal,
dc.date.accessioned 2017-08-30T14:15:44Z
dc.date.available 2017-08-30T14:15:44Z
dc.date.issued 2015
dc.date.submitted 2015
dc.identifier.other b18345244
dc.identifier.uri http://hdl.handle.net/10938/10924
dc.description Thesis. M.E.M. American University of Beirut. Engineering Management Program, 2015. ET:6219
dc.description Advisor : Dr. Ali Yassine, Professor, Engineering Management Program ; Committee Members: Dr. Bacel Maddah, Associate Professor, Engineering Management Program ; Dr. Fadi Zaraket, Assistant Professor, Department of Electrical and Computer Engineering.
dc.description Includes bibliographical references (leaves 57-60)
dc.description.abstract A major decision that can influence the success of a project is the software development method used, which is the structure imposed on the software development process. Qualitative research suggests that neither plan-based methods nor agile methods are optimal for all types of projects. However, quantitative research on this topic is scarce. In this study, we propose a model that compares the structures of the Waterfall and Scrum software development methods taking into consideration factors such as project size, team size, and requirement volatility. This model aims to aid in choosing the software development method that minimizes effort based on the characteristics of the project. Our results indicate that for highly volatile projects and large projects, Scrum is better than Waterfall, while for projects with low volatility and small projects, Waterfall is more desirable.”
dc.format.extent 1 online resource (xi, 66 leaves) : color illustrations ; 30cm
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification ET:006219
dc.subject.lcsh Agile software development.
dc.subject.lcsh Computer software -- Development.
dc.subject.lcsh Scrum (Computer software development)
dc.subject.lcsh Software engineering -- Economic aspects.
dc.subject.lcsh Mathematical optimization.
dc.subject.lcsh Quantitative research.
dc.title Plan-based versus agile software development : a quantitative approach -
dc.type Thesis
dc.contributor.department Faculty of Engineering and Architecture.
dc.contributor.department Engineering Management Program,
dc.contributor.institution American University of Beirut.


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