Enhance Risks Management of Software Development Projects in Concurrent Multi-Projects Environment to Optimize Resources Allocation Decisions

Abstract

In software development project management, Risk management represents critical knowledge and skills at the level of a single software project and at the enterprise ‎level, which executes multiple software projects concurrently. ‎The best decision of Risk management contributes to optimizing resource allocation ‎ at the enterprise level for achieving its goals. Therefore, the issue needs centralized risk management at the enterprise level as a whole and not for each project. Risk management is implemented through several stages and using different methods. ‎Various studies deal with multiple aspects of software ‎management. This research provides an analytical view of risk assessment in multi-environment software development projects that take place simultaneously. The study uses a public dataset previously used in previous research for several simultaneous projects in one organization. It describes the multi-software project's risks through 12 variables. A comparative ‎ analysis uses classification methods (‎Random Forest- TreesJ48 - REP Tree - Simple Logistic)‎ to assess risks and put them in central view. The research experiment has proven high accuracy in determining risk levels in a multi-project environment, reaching approximately 98%, using the REP tree technique.