Interpretive structural modelling of critical risk factors in software engineering project

Purpose – Success of software projects depends on identification of project risks and managing the risks in a proactive manner. Risk management requires thorough insights into interrelationship of various risk factors for proposing strategies to minimize failure rate. The purpose of this paper is to develop a comprehensive structural model to interrelate important risk factors affecting the success of software projects. Design/methodology/approach – Specifically, this study reveals how interpretive structural modelling helps the risk managers in identifying and understanding the interrelationship among various risk factors. A total of 23 risk factors (or risk sources) have been identified through an extensive literature review. Findings – Necessary modelling information has been gathered from expert through a structured questionnaire survey. Matrice d’Impacts croises-multipication applique an classment analysis has been employed to classify the risk factors into four clusters such as autonomous, dependent...

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