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Towards efficient fine-tuning of language models with organizational data for automated software review
M Nashaat, J Miller - IEEE Transactions on Software …, 2024 - ieeexplore.ieee.org
Large language models like BERT and GPT possess significant capabilities and potential
impacts across various applications. Software engineers often use these models for code …
impacts across various applications. Software engineers often use these models for code …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …
Automatic programming: Large language models and beyond
Automatic programming has seen increasing popularity due to the emergence of tools like
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …
GitHub Copilot which rely on Large Language Models (LLMs). At the same time …
An extensive comparison of static application security testing tools
Context: Static Application Security Testing Tools (SASTTs) identify software vulnerabilities
to support the security and reliability of software applications. Interestingly, several studies …
to support the security and reliability of software applications. Interestingly, several studies …
Ai-assisted assessment of coding practices in modern code review
M Vijayvergiya, M Salawa, I Budiselić… - Proceedings of the 1st …, 2024 - dl.acm.org
Modern code review is a process in which an incremental code contribution made by a code
author is reviewed by one or more peers before it is committed to the version control system …
author is reviewed by one or more peers before it is committed to the version control system …
A survey on modern code review: Progresses, challenges and opportunities
Over the past decade, modern code review (MCR) has been deemed as a crucial practice of
software quality assurance, which is applied to improve software quality and transfer …
software quality assurance, which is applied to improve software quality and transfer …
The Current Challenges of Software Engineering in the Era of Large Language Models
With the advent of large language models (LLMs) in the artificial intelligence (AI) area, the
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …
field of software engineering (SE) has also witnessed a paradigm shift. These models, by …
Sustainable software engineering—A contribution puzzle of different teams in large IT organizations
A Poth, P Momen - Journal of Software: Evolution and Process, 2024 - Wiley Online Library
IT sustainability is becoming more and more important within the digitalization journey. It is
more than green coding or the usage of power‐efficient hardware–it needs a holistic …
more than green coding or the usage of power‐efficient hardware–it needs a holistic …
Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?
Several techniques have been proposed to automate code review. Early support consisted
in recommending the most suited reviewer for a given change or in prioritizing the review …
in recommending the most suited reviewer for a given change or in prioritizing the review …
Explaining GitHub Actions Failures with Large Language Models: Challenges, Insights, and Limitations
P Valenzuela-Toledo, C Wu, S Hernandez… - arxiv preprint arxiv …, 2025 - arxiv.org
GitHub Actions (GA) has become the de facto tool that developers use to automate software
workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts …
workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts …