Risk Prevention and Deduction in Software Development Using Fuzzy Membership Function

Malaysian Journal of Computer Science

Hamzah Abdul-Rahman¹  Chen Wang¹  Halim Boussabaine¹  Faizul Azli Mohd-Rahim¹ 

关键词: risk prevention;    risk strategy;    software development;    non-technical strategy;    IT project;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: University of Malaya * Faculty of Computer Science and Information Technology

【 摘 要 】

Evidence indicates that risks in IT projects which are not effectively managed and lack of identification andmanagement during the life cycle of a project can contribute to their failures. Traditional risk assessmentmethods usually model risks with objective probabilities based on the expected frequency of repeatable events.Meanwhile, managers prefer to linguistically represent likelihoods because of the uncertainty and vagueness ofrisk factors. The objective of this paper is to identify risk mitigation strategies in software development projectsfrom the perspectives of software practitioners and determine the effectiveness of these strategies. We explorethe use of fuzzy methods to overcome the problems associated with probabilistic modelling through a set ofquestionnaire surveys which was conducted among 3000 IT practitioners using Tukey-B test, Kendall’s test andPost Hoc Tukey HSD test. We apply Fuzzy Membership Function (Fuzzy-MBF) as an appropriate mechanism indealing with the subjectivity in the assessment of risk factors in different stages of a software development lifecycle. The proposed Fuzzy-MBF offers a quantitative evaluation of risk factors and provides a systemicevaluation of risk and visualization of results.

【 授权许可】

Unknown