Risk assessment on distributed software projects
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Stochastic Model for QoS Assessment in Multi-tier Web Services
Electronic Notes in Theoretical Computer Science (ENTCS)
Performance Evaluation of Software Development Teams: a Practical Case Study
Electronic Notes in Theoretical Computer Science (ENTCS)
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We describe an empirical approach for the assessment of the scheduling risk in a large globally distributed industrial software project.We analyzed two and half years of project data and we identified some factors that are likely to impact team productivity and that could affect the team’s ability to meet its schedule objective. We built an analytical model to capture team’s productivity variability, which can be used to approximate the total time required to complete the project.Our approach is designed to be used by project management groups to perform risk assessment early in the software development process.