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

Abstract

The aim of this paper is to propose new mining techniques by which we can study the impact of different risk management techniques and different software risk factors on software analysis development projects. The new mining technique uses the fuzzy multiple regression analysis techniques with fuzzy concepts to manage the software risks in a software project and mitigating risk with software process improvement. Top ten software risk factors in analysis phase and thirty risk management techniques were presented to respondents. The results show that all software risks in software projects were very important from software project manager perspective, whereas all risk management techniques are used most of the time, and often. However, these mining tests were performed using fuzzy multiple regression analysis techniques to compare the risk management techniques with each of the software risk factors to determine if they are effective in reducing the occurrence of each software risk factor. The study has been conducted on a group of software project managers. Successful software project risk management will greatly improve the probability of software project success.

Top Fifty Software Risk Factors and the Best Thirty Risk Management Techniques in Software Development Lifecycle for Successful Software Projects

“…These factors need to be addressed and thereafter need to be controlled. Consequently, the list consists of the 10 most serious risks of a software project ranked from one to ten, each risk's status, and the plan for addressing each risk [40]. However, the software risk factors listed in Table 1 below are considered in this study.…”

Quantitative and Intelligent Risk Models in Risk Management for Constructing Software Development Projects: A Review

“…However, the fuzzy multiple regression analysis modelling techniques were used to identify the risk management techniques that are effective in reducing the occurrence of each software implementation risks [70]. Furthermore, the new mining technique uses the fuzzy multiple regression analysis techniques with fuzzy concepts to manage the software risks in a software project and mitigating risk with software process improvement [71]. In addition, we propose a new technique by which we can study the impact of different control factors and different risk factors on software projects risk.…”

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“…Top ten software risk factors in analysis phase and thirty risk management techniques were presented to respondents. However, these mining tests were performed using fuzzy multiple regression analysis techniques to compare the risk management techniques with each of the software risk factors to determine if they are effective in reducing the occurrence of each software risk factor [11]. Also, the paper aimed to present new mining technique to identify the risk management techniques that are effective in reducing the occurrence of each software implementation risks [12].…”