The Future of Software Engineering and Acquisition with Generative AI
• Webcast
Publisher
Software Engineering Institute
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Abstract
We stand at a pivotal moment in software engineering, with artificial intelligence (AI) playing a crucial role in driving approaches poised to enhance software acquisition, analysis, verification, and automation. While generative AI tools initially sparked excitement for their potential to reduce errors, scale changes effortlessly, and drive innovation, concerns have emerged. These concerns encompass security risks, unforeseen failures, and issues of trust. Empirical research on generative AI development assistants reveals that productivity and quality gains depend not only on the sophistication of tools but also on task flow redesign and expert judgment.
In this webcast, Software Engineering Institute (SEI) researchers will explore the future of software engineering and acquisition using generative AI technologies. They’ll examine current applications, envision future possibilities, identify research gaps, and discuss the critical skill sets that software engineers and stakeholders need to effectively and responsibly harness generative AI’s potential. Fostering a deeper understanding of AI’s role in software engineering and acquisition accentuates its potential and mitigates its risks.
What Attendees Will Learn
- how to identify suitable use cases when starting out with generative AI technology
- the practical applications of generative AI in software engineering and acquisition
- how developers and decision makers can harness generative AI technology
About the Speaker
Douglas Schmidt (William & Mary)
Douglas Schmidt is an SEI alumni employee.
Schmidt is Director of Operational Test and Evaluation (DOT&E) in the Office of the Secretary of Defense. Schmidt was formerly a visiting scientist at the SEI working on special projects for the SEI director. He was also the chief technology officer of the …
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Anita Carleton
Anita Carleton was named as an SEI Fellow in 2024 for her work in improving modern software engineering practice worldwide, with her most notable contributions in software measurement, statistical process control for software, and the development of a software engineering research and development roadmap. Carleton’s work has consistently provided SEI …
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Ipek Ozkaya
Ipek Ozkaya is a principal researcher and the technical director of the Engineering Intelligent Software Systems group at the SEI. Ozkaya’s primary interests include developing techniques for improving software development efficiency and system evolution with an emphasis on software architecture practices, software economics, and agile development. Ozkaya’s most recent research …
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Shen Zhang
Shen Zhang joined Carnegie Mellon University's Software Engineering Institute (SEI) in November 2021 as a senior software engineer under the EMCS directorate within the Software Solutions Division.
At the SEI, Zhang has been involved in several external (Air Force / Navy) and internal SEI projects as both a tech lead …
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