Systems Engineering Research Center

SERC Talks: How Can We Advance Structural Quality Analysis with Standards and Machine Learning?

10.03.2018 - By Systems Engineering Research CenterPlay

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Presented on October 3, 2018 at 1PM ET by Dr. Bill Curtis

Senior VP & Chief Scientist, CAST Software; Head of CAST Research Labs, Executive Director, Consortium for IT Software Quality (CISQ).

For more information on this Talk and others, please visit:

http://www.sercuarc.org/serc-talks/.

ABSTRACT: The C-suite is fed up with software disasters putting the quarterly statement at risk as they digitize the business. They will demand more accountability and force improvements in software processes that may clash with agile culture. Business critical applications have become so complex and demand for functionality so immediate that human-based quality practices are no longer sufficient. Developer capabilities must be enhanced by system-level analysis of structural weaknesses and operational risks enabled by structural quality technology and measurement standards supported in DevOps toolchains. Empirical results will be reported from research on how some of the most severe Security and Reliability flaws are distributed in business applications. Recent results from machine learning research in structural quality will be discussed along with some caveats about what to expect. International standards for measuring the structural quality of software developed by the Consortium for IT Software Quality (CISQ) that supplement ISO 25023 will be reviewed. The talk concludes with organizational requirements for successfully adopting these advances.

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