Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs

Integrating Large Language Models (LLMs) into software engineering unlocks new opportunities to automate manual processes but raises challenges around reliability, safety, and scalability. My research centers on this synergy, with two key objectives: first, harnessing LLMs to solve software engineering tasks traditionally dependent on labor-intensive, domain-specific methods, and second, applying robust software engineering principles to improve LLM safety and performance. This dual focus creates a powerful feedback loop, where LLMs drive innovation while engineering rigor ensures these systems meet the high standards required for real-world applications.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i28.35234
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs

Guanqun Yang
Proceedings of the AAAI Conference on Artificial Intelligence
Scientific Computing and Data Management
article

Advancing Intelligent Software Development and Trustworthy Models Through the Synergy of Software Engineering and LLMs

Guanqun Yang
article en

Abstract

Integrating Large Language Models (LLMs) into software engineering unlocks new opportunities to automate manual processes but raises challenges around reliability, safety, and scalability. My research centers on this synergy, with two key objectives: first, harnessing LLMs to solve software engineering tasks traditionally dependent on labor-intensive, domain-specific methods, and second, applying robust software engineering principles to improve LLM safety and performance. This dual focus creates a powerful feedback loop, where LLMs drive innovation while engineering rigor ensures these systems meet the high standards required for real-world applications.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(28)
Stevens Institute of Technology (US)
Openalex Percentile: Top 85%
Scientific Computing and Data Management
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