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Session 4 of the planned 12 Sessions in the INCOSE-CMU Lunch 'n Learn Series. ABSTRACT: In a webinar from January of 2021 titled “The Cost of Poor Software Quality in the US: A 2020 Report” the Consortium for IT Software Quality (CISQ) estimated that poor software quality costs the US economy about $2 trillion dollars. This is number slightly less than 10% of the US GDP. CISQ attributes this staggering loss to operational software failures, poor quality legacy systems, and unsuccessful projects. Both functional and structural quality attributes exist in source code. Traditional V&V methods measure functional software quality in terms of meeting requirements or goals. Structural code quality has been more difficult to understand. SEI has developed a method to estimate the quality risk of embedded mission/safety critical source code. We call this process the Code Risk Estimation Worksheet or CREW. In this Lunch ‘n Learn session I’ll present an overview of the SEI CREW process. Particularly, we’ll discuss how we identify risk associated with the modern software development challenges.

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