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

• Published in: International journal of advanced computer science & applications Vol. 12; no. 6
• Main Authors: Alharbi, Ibraheem M, Alyoubi, Adel A, Altuwairiqi, Majid, Ellatif, Mahmoud Abd
• Format: Journal Article
• Language: English
• Published: West Yorkshire Science and Information (SAI) Organization Limited 2021
• Subjects: Decision trees; Optimization; Project management; Resource allocation; Risk assessment; Risk levels; Risk management; Software; Software development
• ISSN: 2158-107X; 2156-5570
• DOI: 10.14569/IJACSA.2021.0120626

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.