Methodology for Selection of Agile Practices

A Master of Science thesis in Computer Engineering by Majd H. Saleh entitled, "Methodology for Selection of Agile Practices," submitted in June 2013. Thesis advisor is Dr. Armin Eberlein and Co-advisor is Dr. Michel Pasquier. Available are both soft and hard copies of the thesis.

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Saleh, Majd H. (author)
التنسيق: doctoralThesis
منشور في: 2013
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/5902
الوسوم: إضافة وسم
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author Saleh, Majd H.
author_facet Saleh, Majd H.
author_role author
dc.contributor.none.fl_str_mv Eberlein, Armin
Pasquier, Michel
dc.creator.none.fl_str_mv Saleh, Majd H.
dc.date.none.fl_str_mv 2013-09-11T07:24:05Z
2013-09-11T07:24:05Z
2013-06
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2013.29
http://hdl.handle.net/11073/5902
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv software engineering
agile adoption
agile practices
clustering
Agile software development
dc.title.none.fl_str_mv Methodology for Selection of Agile Practices
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Computer Engineering by Majd H. Saleh entitled, "Methodology for Selection of Agile Practices," submitted in June 2013. Thesis advisor is Dr. Armin Eberlein and Co-advisor is Dr. Michel Pasquier. Available are both soft and hard copies of the thesis.
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spelling Methodology for Selection of Agile PracticesSaleh, Majd H.software engineeringagile adoptionagile practicesclusteringAgile software developmentA Master of Science thesis in Computer Engineering by Majd H. Saleh entitled, "Methodology for Selection of Agile Practices," submitted in June 2013. Thesis advisor is Dr. Armin Eberlein and Co-advisor is Dr. Michel Pasquier. Available are both soft and hard copies of the thesis.Agile methods have received significant attention in the last ten years and have successfully been applied to many small- to medium-sized projects. They have enjoyed significant popularity amongst developers. Most of the time, the selection of agile methods and practices is based on personal preference or past experience rather than the characteristics of the project at hand. Furthermore, there are no sufficient guidelines for developers to make an appropriate selection. So far, research in this area focuses mainly on specifying the weaknesses and strengths of each method with little analysis of these methods and their practices. It also offers little guidance on how to choose the best-suited practice for a certain project. We believe that finding a way to link project properties and characteristics with the abilities of agile practices is of great importance. In this thesis, we try to find and propose a methodology for developing customized agile approaches by selecting the best agile practices for a given project. We also implement this methodology into an operational model.College of EngineeringDepartment of Computer Science and EngineeringMaster of Science in Computer Engineering (MSCoE)Eberlein, ArminPasquier, Michel2013-09-11T07:24:05Z2013-09-11T07:24:05Z2013-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2013.29http://hdl.handle.net/11073/5902en_USoai:repository.aus.edu:11073/59022025-06-26T12:27:16Z
spellingShingle Methodology for Selection of Agile Practices
Saleh, Majd H.
software engineering
agile adoption
agile practices
clustering
Agile software development
status_str publishedVersion
title Methodology for Selection of Agile Practices
title_full Methodology for Selection of Agile Practices
title_fullStr Methodology for Selection of Agile Practices
title_full_unstemmed Methodology for Selection of Agile Practices
title_short Methodology for Selection of Agile Practices
title_sort Methodology for Selection of Agile Practices
topic software engineering
agile adoption
agile practices
clustering
Agile software development
url http://hdl.handle.net/11073/5902