Emanuel Baker, Software Engineering Consultants, Inc.
Betsy Clark, Software Metrics
Angela Tuffley, RedBay Consulting Pty Ltd.
Adrian Pitman, Capability Acquisition and Sustainment Group (CASG)
It is widely asserted that organizations that implement process improvement using models such as the CMMI will, over time, improve customer satisfaction, product quality, schedule performance, and reduce development cost.
However, engaging a high maturity organization is not a guarantee of success and according to Pyster (2005), Acquisition officials have reported that many of its major programs suffer from cost, schedule, and technical performance problems even though those programs are being implemented by companies which rate high with respect to the CMMI.
Schedule performance is almost always the primary concern of project stakeholders and according to a recent Gartner Survey. The single most common reason that projects are considered a failure, is because they are substantially late. The California High-Speed Rail project is a prime example of that. Already many years late and billions of dollars over its original budget, many are calling for its cancellation even before Phase 1 completion
What then, can be done to improve project schedule performance? What can be done to consolidate the benefits of investing in model-based process improvement?
The Australian Capability Acquisition and Sustainment Group (CASG), in conjunction with Software Metrics Inc (USA) and RedBay Consulting (Aust), has developed and successfully applied the Schedule Compliance Risk Assessment Methodology (SCRAM) to complement process improvement. SCRAM assists both developers and acquirers to consistently identify and immediately deal with risk to, and root causes of, project schedule slippage.
This presentation will discuss how SCRAM has been successfully applied on complex acquisition projects and can be used to consolidate model-based process improvement to immediately improve project schedule performance outcomes based on the SCRAM Root Cause Analysis of Schedule Slippage (RCASS) model. It will show how development organizations can benefit from the insights gained from a SCRAM assessment. Topics in this presentation will include schedule risk assessment (schedule Monte Carlo analysis), parametric estimation techniques, and schedule execution management.
Emanuel Baker, Betsy Clark, Angela Tuffley, Adrian Pitman, 2018 Technical Presentation, Abstract, Paper