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Capers Jones


Capers Jones is co-founder, Vice President and Chief Technology Officer of Namcook Analytics LLC. Namcook Analytics builds patent-pending advanced risk, quality, and cost estimation tools. The web site is www.Namcook.com.

Until co-founding Namcook Analytics LLC in 2011 he was the president of Capers Jones & Associates LLC from 2000 through 2011. He is also the founder and former chairman of Software Productivity Research LLC (SPR). He holds the title of Chief Scientist Emeritus at SPR. Capers Jones founded SPR in 1984. Before founding SPR Capers was Assistant Director of Programming Technology for the ITT Corporation at the Programming Technology Center in Stratford, Connecticut. He created the first software measurement program at ITT. Capers Jones was also a manager and software researcher at IBM in California where he designed IBM’s first software cost estimating tools in 1973 and 1974.

In total Capers Jones has designed seven proprietary software estimation tools and four commercial software estimation tools.

Capers Jones is a well-known author and international public speaker. Some of his books have been translated into five languages. His four most recent books are The Economics of Software Quality, Addison Wesley 2011; Software Engineering Best Practices, McGraw Hill 2010; Applied Software Measurement 3rd ed. McGraw Hill 2008; and Estimating Software Costs 2nd ed. McGraw Hill 2007. His next book will be his 15th. This new book will be The Technical and Social History of Software Engineering, to be published by Addison Wesley in the autumn of 2013. Among his older book titles are Patterns of Software Systems Failure and Success (Prentice Hall 1994), Software Quality: Analysis and Guidelines for Success (International Thomson 1997), and Software Assessments, Benchmarks, and Best Practices (Addison Wesley Longman 2000).

Capers and his colleagues have collected historical data from thousands of software projects, hundreds of corporations, and more than 30 government organizations. This historical data is a key resource for judging the effectiveness of software process improvement methods. The data includes results from 34 software development methods such as Agile, Iterative, waterfall, RUP, TSP, Prince2, and also many hybrids. This data is also widely cited in software litigation in cases where quality, productivity, and schedules are part of the proceedings.

Capers Jones