1 Day Tutorial
S-Curves are particularly effective tools for tracking
and reporting project progress. The S-Curve graph shows clearly when the
project is on schedule, when the schedule is slipping, and where the
schedule is slipping. The graphs give insight into the reasons behind
deviations from the plan. S-Curves make it possible to make adjustments to
the effort as soon as slippage is detected, allowing management to “fix”
problems immediately, before they become big problems.
S-curves are also helpful in tracking the types and
density of errors encountered in the project and in making estimates of the
probable number and severity distribution of remaining errors. S-Curves
make it possible to measure the effectiveness of the test effort; they
provide a valuable basis from which to estimate time lines and resources for
subsequent releases.
Students learn
- What S-Curves are and how to create your own
- How to use S-Curves to manage you projects more
effectively
- How to interpret S-Curves and use them to predict
risk and schedule
Outline
- Introduction
- S-Curve Fundamentals
- Why they work and how they work
- 15 Years of Case Studies and what they mean
- How different lifecycles influence S-Curves
- How to build and automate your own S-Curves
- What other metrics you need to support your
S-Curves
- How to make a Ship/NoShip argument using S-Curves
- Summary
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