In this podcast from the Carnegie Mellon University Software Engineering Institute, Bill Nichols and Julie Cohen talk with Suzanne Miller about how automation within DevSecOps product-development pipelines provides new opportunities for program managers (PMs) to confidently make decisions with the help of readily available data.
As in commercial companies, DoD PMs are accountable for the overall cost, schedule, and performance of a program. The PM’s job is even more complex in large programs with multiple software-development pipelines where cost, schedule, performance, and risk for the products of each pipeline must be considered when making decisions, as well as the interrelationships among products developed on different pipelines. Nichols and Cohen discuss how PMs can collect and transform unprocessed DevSecOps development data into useful program-management information that can guide decisions they must make during program execution. The ability to continuously monitor, analyze, and provide actionable data to the PM from tools in multiple interconnected pipelines of pipelines can help keep the overall program on track.
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The Silver Thread of Cyber in the Global Supply Chain
Measuring DevSecOps: The Way Forward
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Agile Strategic Planning: Concepts and Methods for Success
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Zero Trust Adoption: Benefits, Applications, and Resources
Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions
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Benefits and Challenges of Model-Based Systems Engineering
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Managing Vulnerabilities in Machine Learning and Artificial Intelligence Systems
AI Workforce Development
Moving from DevOps to DevSecOps
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