PROJECT RISK MANAGEMENT IN IRANIAN SOFTWARE PROJECTS
Journal: Journal of Engineering Management and Competitiveness (JEMC) (Vol.8, No. 2)Publication Date: 2018-12-29
Authors : Ali Reza AFSHARI Vladimir BRTKA Melita ĆOĆKALO-HRONJEC;
Page : 81-88
Keywords : Project management; Software projects; Software project risk; Risk assessment; Project risk management.;
Abstract
Many Software development organizations suffer chronic problems of cost overruns, schedule slips and projects that do not meet the originally specified functions in almost all software projects. This study is commenced by reviewing existing risk management models. Thereafter, a survey that involved software project managers in Iran was conducted to gather empirical data about the practice of risk assessment. Thirty Software Project managers participated and were interviewed. Structured questionnaires were used to capture information. Observation made from the study show that in Iran, risk assessment is poorly practiced and many projects do not yet practice systematic risk assessment. This is because 83% of software project managers implicitly assess risks and the same percentage (83%) of them uses unstructured approaches, poor risk identification and analysis techniques. It additionally shows that risks are not documented and experiences not properly utilized. This has led to recurring problems. The conclusion drawn indicates that Iran's software project managers need to start assessing risks using proper approaches. Review of existing models showed that these models are complex and may not help address the existing shortcomings. This study proposes a risk assessment framework, which helps managers to simply start assessing, documenting major risks, estimating risks using an objective approach that is based on frequently occurring risks to project likelihood of a risk occurring and subjective approach where objective approach is not applicable. It also supports qualitative risk estimation technique using prearranged risk estimation matrices and is supported by a tool that collects and stores risk data for analysis and improvement purposes.
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