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Large Language Models (LLMs) are increasingly relevant in Software Engineering research and practice, with Automated Bug Fixing (ABF) being one of their key applications. ABF involves transforming a buggy method into its fixed equivalent. A…

Software Engineering · Computer Science 2026-02-02 Antonio Vitale , Emanuela Guglielmi , Simone Scalabrino , Rocco Oliveto

Code review is a popular practice where developers critique each others' changes. Since automated builds can identify low-level issues (e.g., syntactic errors, regression bugs), it is not uncommon for software organizations to incorporate…

Software Engineering · Computer Science 2023-08-22 Rungroj Maipradit , Dong Wang , Patanamon Thongtanunam , Raula Gaikovina Kula , Yasutaka Kamei , Shane McIntosh

Despite the maturity already achieved by recommender systems algorithms, little is known about how to obtain and provide users with a proper rationale for a recommendation. Transparency and effectiveness of recommender systems may be…

Information Retrieval · Computer Science 2020-10-14 D. C. Hernandez-Bocanegra , J. Ziegler

Code review generation can reduce developer effort by producing concise, reviewer-style feedback for a given code snippet or code change. However, generation-only models often produce generic or off-point reviews, while retrieval-only…

Software Engineering · Computer Science 2026-03-26 Qianru Meng , Xiao Zhang , Zhaochen Ren , Joost Visser

Test code is indispensable in software development, ensuring the correctness of production code and supporting maintainability. Nonetheless, errors or omissions in the test code can conceal production defects. While code review is widely…

Software Engineering · Computer Science 2026-03-18 Hui Sun , Yinan Wu , Wesley K. G. Assunção , Kathryn T. Stolee

Large Language Models are increasingly used in software engineering, but both code generation and its evaluation remain predominantly English-centric. This leaves a major gap in our understanding of how well current tools support…

Sequential recommenders have been widely used in industry due to their strength in modeling user preferences. While these models excel at learning a user's positive interests, less attention has been paid to learning from negative user…

Reward modeling is crucial for aligning large language models (LLMs) with human preferences, especially in reinforcement learning from human feedback (RLHF). However, current reward models mainly produce scalar scores and struggle to…

Code comments are important for program comprehension, development, and maintenance tasks. Given the varying standards for code comments, and their unstructured or semi-structured nature, developers get easily confused (especially novice…

Software Engineering · Computer Science 2023-04-26 Pooja Rani , Mathias Birrer , Sebastiano Panichella , Mohammad Ghafari , Oscar Nierstrasz

Academic publications have been evaluated in terms of their impact on research communities based on many metrics, such as the number of citations. On the other hand, the impact of academic publications on industry has been rarely studied.…

TODO comments are very widely used by software developers to describe their pending tasks during software development. However, after performing the task developers sometimes neglect or simply forget to remove the TODO comment, resulting in…

Software Engineering · Computer Science 2021-08-13 Zhipeng Gao , Xin Xia , David Lo , John Grundy , Thomas Zimmermann

A source code difference (diff) indicates changes made by comparing new and old source codes, and it can be utilized in code reviews to help developers understand the changes made to the code. Although many diff generation methods have been…

Software Engineering · Computer Science 2024-09-27 Tsukasa Yagi , Shinpei Hayashi

This paper studies the problem of predicting the coding effort for a subsequent year of development by analysing metrics extracted from project repositories, with an emphasis on projects containing XML code. The study considers thirteen…

Software Engineering · Computer Science 2015-03-17 Siim Karus , Marlon Dumas

Code review is a practice widely adopted in open source and industrial projects. Given the non-negligible cost of such a process, researchers started investigating the possibility of automating specific code review tasks. We recently…

Software Engineering · Computer Science 2022-01-19 Rosalia Tufano , Simone Masiero , Antonio Mastropaolo , Luca Pascarella , Denys Poshyvanyk , Gabriele Bavota

While code review is central to the software development process, it can be tedious and expensive to carry out. In this paper, we investigate whether and how Large Language Models (LLMs) can aid with code reviews. Our investigation focuses…

Software Engineering · Computer Science 2024-03-14 Rasmus Ingemann Tuffveson Jensen , Vali Tawosi , Salwa Alamir

Several Deep Learning (DL)-based techniques have been proposed to automate code review. Still, it is unclear the extent to which these approaches can recommend quality improvements as a human reviewer. We study the similarities and…

Software Engineering · Computer Science 2026-02-13 Giuseppe Crupi , Rosalia Tufano , Gabriele Bavota

Code comments are important artifacts in software systems and play a paramount role in many software engineering (SE) tasks related to maintenance and program comprehension. However, while it is widely accepted that high quality matters in…

Software Engineering · Computer Science 2023-04-26 Pooja Rani , Arianna Blasi , Nataliia Stulova , Sebastiano Panichella , Alessandra Gorla , Oscar Nierstrasz

Comments, or natural language descriptions of source code, are standard practice among software developers. By communicating important aspects of the code such as functionality and usage, comments help with software project maintenance.…

Computation and Language · Computer Science 2022-08-01 Theo Steiner , Rui Zhang

Software development is a collaborative process that involves various interactions among individuals and teams. TODO comments in source code play a critical role in managing and coordinating diverse tasks during this process. However, this…

Software Engineering · Computer Science 2025-03-20 Haoye Wang , Zhipeng Gao , Tingting Bi , John Grundy , Xinyu Wang , Minghui Wu , Xiaohu Yang

Aim: In contrast to studies of defects found during code review, we aim to clarify whether code reviews measures can explain the prevalence of post-release defects. Method: We replicate a study by McIntoshet. al that uses additive…

Software Engineering · Computer Science 2020-08-28 Andrey Krutauz , Tapajit Dey , Peter C. Rigby , Audris Mockus