Managing Software Project Risks with Proposed Regression Model Techniques and Effect Size Technique

Elzamly, Abdelrafe and Hussin, Burairah (2011) Managing Software Project Risks with Proposed Regression Model Techniques and Effect Size Technique. International Review on Computers and Software (I.RE.CO.S.), 6 (2). pp. 250-263. ISSN 1828-6003

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Abstract

Regardless how much effort we put for the success of software projects, many software projects have very high failure rate and Risks are everywhere in life and most assuredly during the life of software projects. Risk is not always avoidable, but it is controllable. The aim of this paper is to present new techniques by which we can study the impact of different control factors and different risk factors on software projects risk and we knew how to deliver good quality solutions. The new technique uses the regression test and effect size test proposed to managing the risks in a software project and reducing risk with software process improvement. Fourteen risk factors and eighteen control factors were used in this paper. The nine of fourteen factors mitigated by using control factors. The study has been conducted on a group of managers. Successful 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 16:46
Last Modified: 25 Mar 2018 16:46
URI: http://scholar.alaqsa.edu.ps/id/eprint/430

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