Software Engineering

Papers filed under cs.SE on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,621 to 1,680 of 2,816

MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent Skills
Wenbo Guo, Wei Zeng, Chengwei Liu +5
cs.CRcs.SEarXiv:2606.07131v32026
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training
Shubham Gandhi, Saurabh Goyal, Kiran Kate +1
cs.AIcs.LGcs.SEarXiv:2609.04094v12026
Scenario-Guided LLM-based Mobile App GUI Testing
Shengcheng Yu, Yuchen Ling, Chunrong Fang +5
cs.SEarXiv:2506.05079v42025
Studying the Characteristics of AIOps Projects on GitHub
Roozbeh Aghili, Heng Li, Foutse Khomh
cs.SEarXiv:2212.13245v22022
Investigating Explainability of Generative AI for Code through Scenario-based Design
Jiao Sun, Q. Vera Liao, Michael Muller +4
cs.HCcs.AIcs.SEarXiv:2202.04903v12022
Replications, Revisions, and Reanalyses: Managing Empirical Evidence in Software Engineering
Julian Frattini, Jannik Fischbach, Davide Fucci +4
cs.SEarXiv:2609.05983v12026
ObliVul: Alert-Conditioned Safety Obligation Modeling and Bidirectional Counterfactual Validation for Code Vulnerability Detection
Heyang Tan, Chengxin Gao, Xin Wen +2
cs.SEarXiv:2610.11801v12026
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Ben Hutchinson, Andrew Smart, Alex Hanna +5
cs.LGcs.CYcs.DBarXiv:2010.13561v22020
Verification-Time Dependency on a Disappearing Evaluator
Ho Wa Ku, Jameel Ahmed Siddiqui
cs.CYcs.SEarXiv:2608.29912v12026
Predicting Program Exit Code with LLMs and Programming Language Semantics
Lara Marinov, Aditya Thimmaiah, Jayanth Srinivasa +2
cs.PLcs.AIcs.CLarXiv:2609.00579v12026
GameDevBench: Evaluating Agentic Capabilities Through Game Development
Wayne Chi, Yixiong Fang, Arnav Yayavaram +8
cs.AIcs.CLcs.SEarXiv:2602.11103v22026
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging
Cheryl Lee, Chunqiu Steven Xia, Longji Yang +4
cs.SEarXiv:2404.17153v32024
Continuous Process-Level Evaluation for Evolving Enterprise AI Agent Skills
Ngoc Phuoc An Vo, Aarya Doshi, Vadim Sheinin
cs.AIcs.SEarXiv:2610.01833v12026
LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study
Zongen Ren, Wei Shi, Bo Xiong +2
cs.SEarXiv:2608.22004v12026
StarCoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi +64
cs.CLcs.AIcs.PLarXiv:2305.06161v22023
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
Chenxu Liu, Yingjie Fu, Wei Yang +2
cs.SEcs.AIarXiv:2601.02430v32026
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
Jenny T. Liang, Chenyang Yang, Brad A. Myers
cs.SEcs.AIcs.HCarXiv:2303.17125v22023
Bugs in Large Language Models Generated Code: An Empirical Study
Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam +3
cs.SEcs.AIarXiv:2403.08937v22024
WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models
Xinping Lei, Xinyu Che, Junqi Xiong +16
cs.SEcs.AIarXiv:2604.18224v12026
PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents
Bihui Yu, Xinglong Xu, Junjie Jiang +6
cs.AIcs.SEarXiv:2605.10341v12026
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
Harshit Joshi, José Cambronero, Sumit Gulwani +3
cs.SEcs.AIcs.PLarXiv:2208.11640v32022
Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents
Zonghan Yang, Shengjie Wang, Kelin Fu +18
cs.AIcs.CLcs.SEarXiv:2509.23045v32025
Software Engineering for AI-driven Building Operation
Philipp Zech, Sascha Hammes, Johannes Weninger +2
cs.SEcs.AIarXiv:2608.16237v12026
InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information
Jiaze Li, Aocheng Shen, Bing Liu +4
cs.SEcs.AIcs.CLarXiv:2608.29632v12026
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
cs.SEcs.AIarXiv:2302.11382v12023
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
Mohammad Saqib Hasan, Saikat Chakraborty, Santu Karmaker +1
cs.CRcs.SEarXiv:2506.00419v22025
UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
Grace Man Chen, Litao Guo, Yifan Wu +5
cs.SEcs.AIcs.CVarXiv:2607.06306v12026
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System
Yuqi Chen, Christopher M. Poskitt, Jun Sun
cs.SEcs.CRcs.LGarXiv:1801.00903v22018
Planning-Driven Programming: A Large Language Model Programming Workflow
Chao Lei, Yanchuan Chang, Nir Lipovetzky +1
cs.SEcs.AIarXiv:2411.14503v32024
A Transformer-based Approach for Source Code Summarization
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray +1
cs.SEcs.AIcs.LGarXiv:2005.00653v12020
A Deep Dive into Large Language Models for Automated Bug Localization and Repair
Soneya Binta Hossain, Nan Jiang, Qiang Zhou +5
cs.SEarXiv:2404.11595v32024
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.SEcs.HCcs.LGarXiv:2210.14306v52022
kRAIG: A Natural Language-Driven Agent for Automated DataOps Pipeline Generation
Rohan Siva, Kai Cheung, Lichi Li +1
cs.SEcs.AIcs.CLarXiv:2603.20311v12026
Adaptive Strategy Generation for Boundary Value Exploration Beyond Numeric Inputs
Sabinakhon Akbarova, Felix Dobslaw, Robert Feldt
cs.SEarXiv:2608.28230v12026
Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation
Zi Lin, Sheng Shen, Ilia Kulikov +3
cs.SEarXiv:2502.14948v42025
Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review
Joel Abenhaim
cs.SEcs.AIarXiv:2608.12440v12026
NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation
Zhiyuan Xu, Muhammad Firhard Roslan, Joseph Gardiner +2
cs.LGcs.AIcs.CRarXiv:2608.26222v12026
Quantifying the Relationship Between Team Dysfunctions and Performance in Capstone Projects
Luciano Pereira Soares, Luciana Campos Lima, Rafael Corsi Ferrão
cs.SEarXiv:2608.24634v12026
Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
Yi Liu, Weizhe Wang, Ruitao Feng +5
cs.CRcs.AIcs.CLarXiv:2601.10338v12026
ChatDev: Communicative Agents for Software Development
Chen Qian, Wei Liu, Hongzhang Liu +11
cs.SEcs.CLcs.MAarXiv:2307.07924v52023
Design, Monitoring, and Testing of Microservices Systems: The Practitioners' Perspective
Muhammad Waseem, Peng Liang, Mojtaba Shahin +2
cs.SEarXiv:2108.03384v22021
From Metrics to Improvement: A Lifecycle-Aware LLM Feedback Framework for Research Software Quality
Nafis Tanveer Islam, Nafiseh Soveizi, Yutong Li +1
cs.SEarXiv:2608.23118v12026
Large Language Models for Mobile GUI Text Input Generation: An Empirical Study
Chenhui Cui, Tao Li, Junjie Wang +3
cs.SEarXiv:2404.08948v42024
Evaluating Agentic Code Repair Capabilities in Distributed Systems
Yibo Yan, Huijuan Wang, Junzhou He +4
cs.SEcs.AIcs.DCarXiv:2608.14863v12026
Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
Wang Bill Zhu, Miaosen Chai, Shangshang Wang +5
cs.SEcs.CLarXiv:2604.17338v42026
TTHE: Test-Time Harness Evolution
Jun Nie, Yonggang Zhang, Jun Song +5
cs.SEcs.LGarXiv:2607.08124v12026
Rise of the Planet of Serverless Computing: A Systematic Review
Jinfeng Wen, Zhenpeng Chen, Xin Jin +1
cs.SEarXiv:2206.12275v52022
IntentCoding: Amplifying User Intent in Code Generation
Zheng Fang, Yihong Dong, Lili Mou +3
cs.SEcs.AIcs.CLarXiv:2602.00066v12026
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu +2
cs.SEcs.LGarXiv:2107.05908v22021
SWE Context Bench: A Benchmark for Context Learning in Coding
Jiayuan Zhu, Junde Wu, Minhao Hu +9
cs.SEcs.AIarXiv:2602.08316v32026
OOM-RL II: Reality Is an Oracle, Not a Debugger Provenance-Constrained Diagnosis in Continually Evolving Agent-Engineered Systems
Kun Liu, Liqun Chen
cs.AIcs.SEq-fin.PMarXiv:2610.10256v12026
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
Martin White, Michele Tufano, Matias Martinez +2
cs.SEarXiv:1707.04742v22017
TOGA: A Neural Method for Test Oracle Generation
Elizabeth Dinella, Gabriel Ryan, Todd Mytkowicz +1
cs.SEarXiv:2109.09262v22021
AST-Based Automated Elimination of break and continue Statements in Java Code
Andrés Juárez, José Chicano, Rubén Saborido
cs.SEarXiv:2609.27627v12026
Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo
Kilian Kier, Alessandro Giagnorio, Omar AbedelKader +5
cs.SEarXiv:2607.04939v12026
SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair
Quanjun Zhang, Chengyu Gao, Yu Han +4
cs.SEarXiv:2602.23647v22026
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
Zhi Chen, Zhensu Sun, Yuling Shi +4
cs.SEcs.AIarXiv:2602.07900v22026
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models
Chansung Park, Juyong Jiang, Fan Wang +4
cs.CLcs.LGcs.SEarXiv:2602.15449v12026
Agent READMEs: An Empirical Study of Context Files for Agentic Coding
Worawalan Chatlatanagulchai, Hao Li, Yutaro Kashiwa +8
cs.SEarXiv:2511.12884v22025
RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue
Zhihao Lin, Mingyi Zhou, Zhensu Sun +4
cs.SEarXiv:2607.01213v12026

Software Engineering

MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent Skills

DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training

Scenario-Guided LLM-based Mobile App GUI Testing

Studying the Characteristics of AIOps Projects on GitHub

Investigating Explainability of Generative AI for Code through Scenario-based Design

Replications, Revisions, and Reanalyses: Managing Empirical Evidence in Software Engineering

ObliVul: Alert-Conditioned Safety Obligation Modeling and Bidirectional Counterfactual Validation for Code Vulnerability Detection

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

Verification-Time Dependency on a Disappearing Evaluator

Predicting Program Exit Code with LLMs and Programming Language Semantics

GameDevBench: Evaluating Agentic Capabilities Through Game Development

UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging

Continuous Process-Level Evaluation for Evolving Enterprise AI Agent Skills

LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study

StarCoder: may the source be with you!

WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

Bugs in Large Language Models Generated Code: An Empirical Study

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents

Software Engineering for AI-driven Building Operation

InteractBench: Benchmarking LLMs on Competitive Programming under Unrevealed Information

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences

UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation

Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System

Planning-Driven Programming: A Large Language Model Programming Workflow

A Transformer-based Approach for Source Code Summarization

A Deep Dive into Large Language Models for Automated Bug Localization and Repair

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

kRAIG: A Natural Language-Driven Agent for Automated DataOps Pipeline Generation

Adaptive Strategy Generation for Boundary Value Exploration Beyond Numeric Inputs

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation

Specification-first convergence with an AI coding agent: a case study of dismantling a core architectural invariant across 189 files in a 717k-line codebase with no test oracle and no human code review

NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation

Quantifying the Relationship Between Team Dysfunctions and Performance in Capstone Projects

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

ChatDev: Communicative Agents for Software Development

Design, Monitoring, and Testing of Microservices Systems: The Practitioners' Perspective

From Metrics to Improvement: A Lifecycle-Aware LLM Feedback Framework for Research Software Quality

Large Language Models for Mobile GUI Text Input Generation: An Empirical Study

Evaluating Agentic Code Repair Capabilities in Distributed Systems

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

TTHE: Test-Time Harness Evolution

Rise of the Planet of Serverless Computing: A Systematic Review

IntentCoding: Amplifying User Intent in Code Generation

Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection

SWE Context Bench: A Benchmark for Context Learning in Coding

OOM-RL II: Reality Is an Oracle, Not a Debugger Provenance-Constrained Diagnosis in Continually Evolving Agent-Engineered Systems

Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities

TOGA: A Neural Method for Test Oracle Generation

AST-Based Automated Elimination of break and continue Statements in Java Code

Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models

Agent READMEs: An Empirical Study of Context Files for Agentic Coding

RepoRescue: An Empirical Study of LLM Agents on Whole-Repository Compatibility Rescue