News Archive: 2023
DevSecOps Days Pittsburgh 2023 Presentations Now Available
• Article
The slides, graphic recordings, and videos cover many aspects of integrating security into DevOps practices.
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Workshop Will Advance the Strategy for U.S. Leadership in Software and AI Engineering
• Article
The workshop will explore the fundamental research needed to support progress in these critical domains.
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Software Engineering Workshop for Educators Returns for 20th Anniversary
• Article
The event will feature programming on cyber forensics, incident response, experiential learning, supporting neurodivergent students, and the workshop’s history.
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DevSecOps Days Pittsburgh 2023 Announces Speakers
• Article
The virtual May 11 conference will feature 10 experts on integrating security into DevOps practices.
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2022 Year in Review Showcases Accomplishments in Machine Learning, Software Assurance, DevSecOps, and More
• Article
The Year in Review captures some of the SEI’s most significant work performed in fiscal year 2022.
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DevSecOps Days 2023 Opens Registration, Call for Speakers
• Article
The conference on integrating security into DevOps practices will be held virtually May 11.
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SEI Launches CERT Certificate in Data Science for Cybersecurity
• Press Release
The CERT Division of the Software Engineering Institute today announced the launch of the CERT Applied Data Science for Cybersecurity Professional Certificate program. Designed by CERT Division machine learning research …
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Secure Software by Design Event Opens Call for Presentations and Registration
• Press Release
The CERT Division of the Carnegie Mellon University Software Engineering Institute (SEI) today announced registration and a call for presentations for Secure Software by Design, a two-day live, in-person event …
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FloCon 2023 Presentations Showcase Scalable Analytics Techniques
• Article
Presentations on analyzing a variety of data supported by innovative machine learning, hardware, and network storage are now available on the SEI website.
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New Tool Detects Mismatches in Machine Learning System Development
• Article
The TEC ML Mismatch Detection Tool aims to reduce delays and rework in software development projects by helping developers align their assumptions about machine learning components.
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