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The Way Forward Workshop Report: Future Challenges in Software Engineering

Authors: Alonso, Juncal; Favaro, John; Di Nitto, Elisabetta; Wallom, David; Miller, Mark; Abergas-Arteza, Julie;

The Way Forward Workshop Report: Future Challenges in Software Engineering

Abstract

The SWForum.eu "Way Forward Workshop on Future Challenges in Software Engineering" convened experts at Politecnico di Milano to evaluate present software engineering practices amidst emerging technologies. Four focal areas were chosen: Security in the Computing Continuum: Addressing software security challenges, addressing also issues arising from new technologies like machine learning Software Engineering and AI: Examining the mutual impact of AI and Software Engineering, encompassing the complexities of AI architectures, validation, and security Software Engineering for Quantum Computing: Delving into the advances and challenges of quantum computing, emphasizing effective design and programming strategies Sustainable Software Engineering: Exploring software's contribution to sustainability and its role in addressing pressing issues like the United Nations Sustainable Development Goals The workshop introduced the SWForum.eu initiative and its goals, culminating in a conclusion session. Explore captivating event highlights in our gallery section. Access speaker presentations and the post-workshop news piece for valuable resources to tackle future software engineering challenges. Click here to view videos, presentations, and more from the workshop.

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Keywords

computing continuum, security, software technologies, artificial intelligence, quantum computing, software engineering

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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