A 2030 Roadmap for Software Engineering

The landscape of software engineering has dramatically changed in recent years. The impressive advances of artificial intelligence are just the latest and most disruptive innovation that has remarkably changed the software engineering research and practice. This special issue shares a roadmap to guide the software engineering community in this confused era. This roadmap is the outcome of a 2-day intensive discussion at the 2030 Software Engineering workshop. The roadmap spotlights and discusses seven main landmarks in the new software engineering landscape: artificial intelligence for software engineering, human aspects of software engineering, software security, verification and validation, sustainable software engineering, automatic programming, and quantum software engineering. This editorial summarizes the core aspects discussed in the 37 papers that comprise the seven sections of the special issue and guides the interested readers throughout the issue. This roadmap is a living body that we will refine with follow-up workshops that will update the roadmap for a series of forthcoming ACM TOSEM special issues.

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Publication Details

Journal
ACM Transactions on Software Engineering and Methodology
Published
2025-04-25
DOI
https://doi.org/10.1145/3731559
Citations
6
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
8.92
Controls
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A 2030 Roadmap for Software Engineering

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A 2030 Roadmap for Software Engineering

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Abstract

The landscape of software engineering has dramatically changed in recent years. The impressive advances of artificial intelligence are just the latest and most disruptive innovation that has remarkably changed the software engineering research and practice. This special issue shares a roadmap to guide the software engineering community in this confused era. This roadmap is the outcome of a 2-day intensive discussion at the 2030 Software Engineering workshop. The roadmap spotlights and discusses seven main landmarks in the new software engineering landscape: artificial intelligence for software engineering, human aspects of software engineering, software security, verification and validation, sustainable software engineering, automatic programming, and quantum software engineering. This editorial summarizes the core aspects discussed in the 37 papers that comprise the seven sections of the special issue and guides the interested readers throughout the issue. This roadmap is a living body that we will refine with follow-up workshops that will update the roadmap for a series of forthcoming ACM TOSEM special issues.

ACM Transactions on Software Engineering and MethodologyVol. 34(5)
William & Mary (US), National University of Singapore (SG), Williams (United States) (US), Università della Svizzera italiana (CH), Universitat Politècnica de València (ES), Chalmers University of Technology (SE), Beihang University (CN)
Openalex Percentile: Top 2%
Software System Performance and Reliability
8.92
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