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

Abstract

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.

A New Conceptual Framework Modelling for Cloud Computing Risk Management in Banking Organizations

“…Risk is not always avoidable, but it is controllable on software development projects [66]- [68]. Furthermore, risk control in software projects is usually based on constructing a model through synchronization from many developers to manage and prevent conflicts [69].…”

A Comparison of Stepwise and Fuzzy Multiple Regression Analysis Techniques for Managing Software Project Risks: Analysis Phase

“…And proposed new techniques the regression test and effect size test to manage the risks in a software project (Elzamly and Hussin, 2011a). Furthermore, the new stepwise regression technique used to manage the risks in a software project (Elzamly and Hussin, 2013a). Indeed, the multiple regression analysis techniques with fuzzy concepts is used to mitiagte the risks in a software project in design phase (Elzamly and Hussin, 2013b).…”

“…Furthermore, the new stepwise regression technique used to manage the risks in a software project (Elzamly and Hussin, 2013a). Indeed, the multiple regression analysis techniques with fuzzy concepts is used to mitiagte the risks in a software project in design phase (Elzamly and Hussin, 2013b). In addition, they proposed TechnoPortfolio Advisor to helps the investors to understand the critical relations and support mutual funds selection during the Asset Management Companies in India.…”

“…Further the new mining technique that uses the fuzzy regression analysis modelling techniques to manage the risks in a software planning development project. Top ten software risk factors in planning phase and thirty risk management techniques were presented to respondents (Elzamly and Hussin, 2014b). However, Oracle corporation described risk management solutions enable a standardized approach for identifying risk, assessing risk and mitigating risk throughout the software project lifecycle (Oracle, 2010).…”

Classification of Critical Cloud Computing Security Issues for Banking Organizations: A Cloud Delphi Study

“…If a client want to take a full advantage of cloud computing, then this client must be ensured about data, infrastructure and application security [2]. Integrating formal cloud risk management with project management is a new phenomenon in software engineering and product management community [3]. In addition, cloud risk is an uncertainty that can have a negative or positive effect on meeting project objectives.…”