Most measurements in software development are notoriously difficult and assessing productivity is no exception. There are an enormous number of factors that could or do affect productivity, and it is challenging to identify and characterize what they might be. The effort involved often deters organizations from even attempting to quantify how effective they are at building systems. This webinar will present a useful and practical approach to productivity measurement based on a mathematical model of systems development and over thirty years of research. It will also describe the core mathematical functions that relate to the major attributes of systems development, show how a useful productivity metric can be calculated from project history, and demonstrate how QSM’s database of over 10,000 projects support this view of software development productivity.
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The IT Metrics and Productivity Institute (ITMPI) is an organization dedicated to best practices education in IT management, project management, and software development. Our mission is to pull together the expertise and educational efforts of the world’s leading IT thought leaders and to create a single online destination where IT practitioners and executives can meet all of their educational and professional development needs. We also have created the largest repository of high quality, PDU and CDU approved, online education in the world.
ABOUT THE PRESENTER:
Phil Armour is a Principal Consultant for QSM Inc. He has over 40 years of experience in software development, quality management, training, and software process improvement and has worked with QSM’s SLIM® Suite since 1991. He has implemented many systems using a variety of languages, platforms, and methodologies for multiple applications and domains. He is the author of The Laws of Software Process [Auerbach Publishers 2003] and has been contributing editor and author of the column The Business of Software at ACM’s flagship periodical Communications of the ACM since 2000. Phil was the Master Instructor for Software Methods at Motorola University and external/adjunct faculty at Lake Forest Graduate School of Management and the Medoza School of Business at the University of Notre Dame.