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.
Predicting Software Assurance Using Quality and Reliability Measures
Applying Agile in the DoD: Ninth Principle
Cyber Insurance and Its Role in Mitigating Cybersecurity Risk
AADL and Dassault Aviation
Tactical Cloudlets
Agile Software Teams and How They Engage with Systems Engineering on DoD Acquisition Programs
Coding with AADL
The State of Agile
Applying Agile in the DoD: Eighth Principle
A Taxonomy of Operational Risks for Cyber Security
Agile Metrics
Four Principles for Engineering Scalable, Big Data Systems
An Appraisal of Systems Engineering: Defense v. Non-Defense
HTML5 for Mobile Apps at the Edge
Applying Agile in the DoD: Seventh Principle
AADL and Edgewater
Security and Wireless Emergency Alerts
Safety and Behavior Specification Using the Architecture Analysis and Design Language
Characterizing and Prioritizing Malicious Code
Applying Agile in the DoD: Sixth Principle
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