Software Risk Assessment and Management with Rules Based on Fuzzy Approach

Abstract

Up to now, several software risk parameters have been determined in order to assess and manage software development projects: Productivity, Engagement, Attention to Quality, Code Based Knowledge and Management, Adherence to Coding Guidelines and Techniques, Learning and Skills, Personal Responsibility and etc. However, there isn’t any universally accepted methodology to apply software risk assessment and management. There are three main reasons of this situation: Firstly, each part of software creation is unique. There is no compelling reason to assemble two times the same parts of software as it might be duplicated by copying it. This makes it truly difficult to make a formal and thorough correlation between two parts of software. Secondly, the current technology is something that changes at a truly fast phase. So, each time a methodology in respect to a certain wave of technology is dependable enough, it is for the most part as of recently old. Thirdly, there is a gigantic zone for innovativeness in discovering the diverse answers for a unique issue. Because of these reasons, the technique “Fuzzy Approach” has a very convenient and proper process for defining software risks due to their nature that has no certainty – uncertainty – structure and principle. Also, software risks are defined as the probability and the severity of damages that are caused by occurring of bad or undesirable events in a system. Thus, the system suffers from strategic, financial, operational, structural or integrity loss and damage. So, there is need to apply and carry out an efficient “Software Risk Assessment and Management” in order to determine and recognize software risks on time before causing problems and troubles into software projects for providing successfully accomplishment in software development process. In this paper, usability and efficiency of “Fuzzy Approached” linguistic and logical rules based on “Fuzzy Logic” in “Software Risk Assessment and Management” have been shown and expressed in detail.