With Mark Kasunic and your’s truly we discuss some early summaries from our collected software project data.
Recorded Wednesday April 23, 2014, This will be placed into the archives for viewing at your leisure. Until then, just register for the webinar to gain access.
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.
Join us 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. Tune in during this webinar to 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 will share the performance results of over 100 software teams that have carefully tracked their schedule performance and the quality of their work. We will show you 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.
About the Speakers:
Mark Kasunic is a senior member of the technical staff at the Software Engineering Institute (SEI) at Carnegie Mellon University. He is currently a member of the Team Software Process Initiative within the Software Solutions Division. Since joining the SEI in 1994, his work has focused on transitioning performance improvement technologies into practice through applied research, course development, coaching, and training. His current research and development interests include data quality assessment and improvement, project performance measurement, and practical measurement and analysis approaches that help individuals and teams improve their technical performance. Mark has an extensive list of technical publications and conference presentations addressing software engineering and measurement. Before joining the SEI, Mark was an engineer and manager at Boeing in Seattle. He has a Masters Degree in Systems Engineering and is a senior member of IEEE. Mark is a certified TSP Mentor Coach and a certified Scrum Master.
Bill Nichols joined the Software Engineering Institute (SEI) in 2006 as a senior member of the technical staff and serves as a Personal Software Process (PSP) instructor and Team Software Process (TSP) Mentor Coach with the TSP Initiative within the Software Solutions Division (SSD). Prior to joining the SEI, Dr. Nichols lead a software development team at the Bettis Laboratory near Pittsburgh, Pennsylvania, where he had been developing and maintaining nuclear engineering and scientific software for 14 years. His TSP publications include the the PSP and TSP Bodies of Knowledge, The TSP Coach Mentoring Program Guidebook, and various publications addressing software quality planning. Research publications include an algorithm for use in neutron diffusion programs, design and performance of a physics data acquisition system, and experimental results in particle physics. He has a doctorate in physics from Carnegie Mellon University.