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This paper presents an expert risk evaluation system developed and based on up-to-date empirical study that uses a real data from huge number of software projects to identify the most factors that affect the project success. Software project can be affected by a range of risk factors through all phases of the development process. Therefore, it has become necessary to consider risk concerns while developing the software project. Risk assessment and management play a significant role in avoiding failure of the software project, and can help in mitigating the effect of the undesirable events that could affect the project outcomes. In this paper, the researchers have developed a novel expert fuzzy-logic tool that can be used by project decision makers to evaluate the expected risks .The developed tool helps in estimating the risk probability based on the software project's critical success factors. A user-friendly interface is created to enable the project managers to perform general risk evaluation during any stage of the software development process. The proposed tool can be helpful in achieving effective risk control, and therefore improving the overall project outcomes.

The successful software project can be defined as the project that meets the planned quality, cost, schedule, and effort. It has been suggested that there are many reasons which might lead to software project success.  Several success and failure factors for particular projects were discussed in the literature. This paper aims to identify the most common success factors through reviewing a set of software project reports and case studies. In order to fully understand reasons behind the project success, the reasons behind project failure and the definition of failure itself are discussed. Furthermore, case studies of successful and failed software projects are described. This paper also investigates techniques that have been developed to increase software project success rate and decrease probable failures.