Measurement and Metrics

Tutorials

MA Practical Agile Measurement: Benchmarking to Chart Project Trends NEW

Michael Mah, QSM Associates, Inc.

Mon, 11/09/2015 - 8:30am

How can you compare the productivity and quality you achieve across the span of your projects—whether agile, waterfall, or outsourced? Join Michael Mah to learn about schedule, quality, and defect metric trends and how these patterns behave on real projects. Learn how to use your own data to move from sketches on a whiteboard to understand your own project trends for productivity, time-to-market, and defect rates. Using recent, real-world case studies, Michael offers a practical, expert view of software measurement, showing you these metrics in action. With hands-on exercises, learn how to use these techniques to make your own comparisons for time, cost, and quality. Working in pairs, calculate productivity metrics using the templates Michael employs in his consulting practice. Leverage these metrics to make the case for changing to more agile practices and creating realistic project commitments within your organization. Take back new ways for communicating to key decision makers the value of implementing agile development practices.

MH Measurement and Metrics for Test Managers

Michael Sowers, TechWell Corp.

Mon, 11/09/2015 - 8:30am

To be most effective, test managers must develop and use metrics to help direct the testing effort and make informed recommendations about the software’s release readiness and associated risks. Because one important testing activity is to “measure” the quality of the software, test managers must measure the results of both the development and testing processes. Collecting, analyzing, and using metrics are complicated because many developers and testers are concerned that the metrics will be used against them. Join Mike Sowers as he addresses common metrics—measures of product quality, defect removal efficiency, defect density, defect arrival rate, and testing status. Learn the guidelines for developing a test measurement program, rules of thumb for collecting data, and ways to avoid “metrics dysfunction.” Mike identifies several metrics paradigms and discusses the pros and cons of each.