CMU SEI Research Review 2020 Day 3 Artifacts
• Collection
Publisher
Software Engineering Institute
Topic or Tag
Abstract
This collection includes materials from day three of the 2020 SEI Research Review event. These materials include presentations and posters about model-based engineering, rapid software evolution, rapid certifiable trust, software-defined IoT security, artificial intelligence techniques for software cost prediction, and the combination of DevOps and model-based engineering to build and deploy systems and their digital twins.
Collection Items
Untangling the Knot: Enabling Rapid Software Evolution
• Presentation
By James Ivers
This project uses AI techniques to recommend refactorings that can improve the structure of software in significantly less time than it takes to manually refactor.
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TwinOps: Digital Twins Meet DevOps
• Presentation
By Jerome Hugues
This research improves the state of the art and the state of practice to design and analyze cyber-physical systems using DevOps and model-based engineering.
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Model-Based Engineering with AADL: Transitioning Research to Practice
• Presentation
By Sam Procter
To understand interactions between safety and security mechanisms, CMU SEI researchers are developing an integrated safety and security engineering approach supported by an AADL workbench.
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CMU SEI Research Review 2020 Artifacts