Abstract
The ability to quantitatively monitor and assess software project performance supports the Quantitative Process Management and Software Quality Management Level 4 Key Process Areas (KPAs) of the Capability Maturity Model (CMM). In this paper, we discuss ongoing work with an industrial partner to integrate software process metrics with a discrete event simulation model to improve process performance predictions. A flexible metrics repository provides data that are used to generate updated simulation model parameters at predefined project milestones. Model predictions are updated using a flexible metrics repository and are compared to Outcome Based Control Limits (OBCLs) defined for the project. These predictions enable a project manager to take corrective action as necessary with the simulation model providing insight on potential performance impacts of the corrective actions proposed.
Recommended Citation
Raffo, David and Harrison, Warren, "Moving Toward CMM Levels 4 and 5: Combining Models and Metrics to Achieve Quantitative Process Management" (2000). AMCIS 2000 Proceedings. 303.
https://aisel.aisnet.org/amcis2000/303