Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library


When Measurement Benefits the Measured

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  • Abstract

    What constitutes stellar performance and best practice? You can't really say what's good or best ... unless you measure it.

    High-performing athletes rely on measurement to understand and improve so that they can compete effectively and win. Can knowledge workers such as software engineers use measurement in a similar approach? Absolutely. But the measures need to be practical, relevant, trustworthy, and actionable. They need to be used by the individual to benefit the individual.

    Watch to:

    • see the emerging empirical results of over 100 software project teams that have collected accurate performance data
    • learn about the techniques that were developed and used to validate the accuracy of the collected data
    • learn how four basic measures can provide close-looped feedback to help software engineers understand and improve their performance

    You don't need to measure everything. It only takes a few basic and easy-to-collect measures to help you and your team manage schedule commitments and software quality. Find out what those key measures are, how you can collect them, and how you and your software development team can use them effectively.

    During this webinar, we shared the performance results of over 100 software teams that have carefully tracked their schedule performance and the quality of their work. We showed how high-integrity empirical results such as these can be used at the individual, project, and industry levels to characterize performance in meaningful and insightful ways.

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