Managing Software Project Risks (Planning Phase) with Proposed Fuzzy Regression Analysis Techniques with Fuzzy Concepts

Elzamly, Abdelrafe and Burairah, Hussin (2014) Managing Software Project Risks (Planning Phase) with Proposed Fuzzy Regression Analysis Techniques with Fuzzy Concepts. International Journal of Information and Computer Science (IJICS), 3 (2). pp. 31-40. ISSN 2161-6450


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Regardless of how much effort we put for the success of software projects, many software projects have very high failure rate. Risk is not always avoidable, but it is controllable on software development projects. The aim of this paper is to present new mining technique that uses the fuzzy regression analysis modelling techniques to manage the risks in a software development project and to reduce risk with software process improvement. Top ten software risk factors in planning phase and thirty risk management techniques were presented to respondents. The results showed that all risks in software projects were important in software project manager perspective, whereas all risk management techniques are used most of time, and often. However, these mining tests were performed using fuzzy multiple regression analysis techniques to compare the risk management techniques to each of the software risk factors to determine if they are effective in mitigating the occurrence of each software risk factor. Also ten top software risk factors ( planning phase) were mitigated by using risk management techniques. The risk management techniques were mitigated on software risk factors in Table 15. The study has been conducted on a group of software project managers. Successful software project risk management will greatly improve the probability of project success.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Dr. Abdelrafe Elzamly
Date Deposited: 25 Mar 2018 16:48
Last Modified: 25 Mar 2018 16:48

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