Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKeshlaf, Ayad Ali-
dc.descriptionPhD Thesisen_US
dc.description.abstractWeb and distributed software developments are risky and face speci c challenges like time zone and cultural di erences. These challenges have resulted in new risks and risk management needs. In this thesis, a systematic review of existing software risk management approaches was conducted to investigate their ability to satisfy the risk management needs of web and distributed developments. The review identi es a number of weaknesses in existing approaches. Examples are the lack of consideration for web and distributed factors and lack of preparation for atypical risks. A new approach called WeDRisk is introduced to manage the risks from project, process and product perspectives. The WeDRisk approach addresses the weaknesses of existing approaches to risk management, which are less able to deal with the speci c challenges of web and distributed develop- ment. A key part of the approach is exibility to deal with the rapid evolution which is typical of such developments. This exibility is achieved by customiz- ing the risk management and providing a method for coping with atypical risks. WeDRisk also provides an improved risk estimation equation to consider web and distributed factors. The novel aspects of the WeDRisk approach were subjected to a series of evaluation cycles, including peer review, two controlled experiments, expert evaluation and a case study. In addition to a number of improvement sug- gestions, the evaluation results illustrate how WeDRisk is useful, understandable, exible, easy to use, and able to satisfy many web and distributed development risk management needs.en_US
dc.description.sponsorshipIndustrial Research Centre and Libyan government-Higher Ed- ucation for the scholarship.en_US
dc.publisherNewcastle Universityen_US
dc.titleWeDRisk :an approach to managing web and distributed software development risksen_US
Appears in Collections:School of Computing Science

Files in This Item:
File Description SizeFormat 
Keshlaf, A.A. 13.pdfThesis4.28 MBAdobe PDFView/Open
dspacelicence.pdfLicence43.82 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.