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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2,341 to 2,400 of 2,805

Evaluating Code Recommender Systems: A Review
Daniel Borst, Stefan Sobernig
cs.SEarXiv:2609.30351v12026
Conversational Automated Program Repair
Chunqiu Steven Xia, Lingming Zhang
cs.SEcs.LGarXiv:2301.13246v12023
Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen
Jiada Li, Xuesong Ye, Olamide Olowoniyi
cs.SEcs.AIcs.ETarXiv:2608.13884v12026
Bears: An Extensible Java Bug Benchmark for Automatic Program Repair Studies
Fernanda Madeiral, Simon Urli, Marcelo Maia +1
cs.SEarXiv:1901.06024v12019
From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining
Xiaoxue Ren, Xinyuan Ye, Dehai Zhao +2
cs.SEarXiv:2309.15606v12023
RLCoder: Reinforcement Learning for Repository-Level Code Completion
Yanlin Wang, Yanli Wang, Daya Guo +4
cs.SEarXiv:2407.19487v12024
Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review
Mohammad Amin Zadenoori, Jacek Dąbrowski, Waad Alhoshan +2
cs.SEarXiv:2509.11446v12025
Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
Md Shohel Arman, Igor Molybog
cs.SEcs.AIcs.CLarXiv:2609.31587v12026
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
Haolin Jin, Zechao Sun, Huaming Chen
cs.SEcs.AIcs.CLarXiv:2410.01242v22024
Large Language Model Guided Self-Debugging Code Generation
Muntasir Adnan, Zhiwei Xu, Carlos C. N. Kuhn
cs.SEcs.AIarXiv:2502.02928v22025
ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting
Zhijie Chen, Xiang Chen, Ziming Li +2
cs.SEarXiv:2511.17027v12025
Open Problems in Engineering Machine Learning Systems and the Quality Model
Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae
cs.SEcs.LGarXiv:1904.00001v12019
Better patching using LLM prompting, via Self-Consistency
Toufique Ahmed, Premkumar Devanbu
cs.SEcs.LGarXiv:2306.00108v22023
Learning Python Code Suggestion with a Sparse Pointer Network
Avishkar Bhoopchand, Tim Rocktäschel, Earl Barr +1
cs.NEcs.AIcs.CLarXiv:1611.08307v12016
Logram: Efficient Log Parsing Using n-Gram Dictionaries
Hetong Dai, Heng Li, Weiyi Shang +2
cs.SEarXiv:2001.03038v12020
Ghera: A Repository of Android App Vulnerability Benchmarks
Joydeep Mitra, Venkatesh-Prasad Ranganath
cs.CRcs.SEarXiv:1708.02380v12017
An Actionable Framework for Understanding and Improving Developer Experience
Michaela Greiler, Margaret-Anne Storey, Abi Noda
cs.SEarXiv:2205.06352v12022
Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks
Sahil Bhatia, Rishabh Singh
cs.PLcs.AIcs.LGarXiv:1603.06129v12016
Teaching Software Engineering for AI-Enabled Systems
Christian Kästner, Eunsuk Kang
cs.SEcs.AIcs.LGarXiv:2001.06691v12020
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
Ranim Khojah, Mazen Mohamad, Philipp Leitner +1
cs.SEcs.AIcs.CLarXiv:2404.14901v22024
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Yaojie Hu, Xingjian Shi, Qiang Zhou +1
cs.LGcs.AIcs.PLarXiv:2204.06643v12022
Learning Deep Semantics for Test Completion
Pengyu Nie, Rahul Banerjee, Junyi Jessy Li +2
cs.SEcs.CLcs.LGarXiv:2302.10166v32023
Hierarchical Knowledge Injection for Improving LLM-based Program Repair
Ramtin Ehsani, Esteban Parra, Sonia Haiduc +1
cs.SEarXiv:2506.24015v32025
Push Your Agent: Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents
Yuandao Cai, Yuzhang Zhu, Liyou Gao +2
cs.LGcs.SEarXiv:2605.23574v12026
When Language Model Meets Private Library
Daoguang Zan, Bei Chen, Zeqi Lin +3
cs.PLcs.CLcs.SEarXiv:2210.17236v12022
Towards Autonomous Testing Agents via Conversational Large Language Models
Robert Feldt, Sungmin Kang, Juyeon Yoon +1
cs.SEarXiv:2306.05152v22023
Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs
Mirazul Haque, Petr Babkin, Farima Farmahinifarahani +1
cs.LGcs.SEarXiv:2505.04441v12025
ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents
Jiawei He, Jie Jia, Chenbo Liu +4
cs.SEcs.AIarXiv:2605.20251v42026
Training and Evaluating a Jupyter Notebook Data Science Assistant
Shubham Chandel, Colin B. Clement, Guillermo Serrato +1
cs.LGcs.SEarXiv:2201.12901v12022
FRANC: A Lightweight Framework for High-Quality Code Generation
Mohammed Latif Siddiq, Beatrice Casey, Joanna C. S. Santos
cs.SEcs.LGarXiv:2307.08220v22023
Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews
Hariharan Gopinath, Jan Bosch, Helena Holmström Olsson
cs.SEcs.AIarXiv:2609.31191v12026
Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development
Viktor Kjellberg, Srijita Basu, Simin Sun +2
cs.SEcs.AIarXiv:2609.30863v12026
AGATE: Provenance-Based Runtime Defense Against Compositional Attacks on LLM Agents
Xiaorui Zhang, Zhuoran Cheng, Kailin Liu +6
cs.CRcs.SEarXiv:2609.30830v12026
Recommender System for Online Dating Service
Lukas Brozovsky, Vaclav Petricek
cs.IRcs.SEarXiv:cs/0703042v12007
Identifying Latent Declarative Representations of Code for Assisting Repository Migration
Shraddha Surana, Ashwin Srinivasan, Michael Bain
cs.SEcs.AIarXiv:2608.23619v12026
Work-From-Home is Here to Stay: Call for Flexibility in Post-Pandemic Work Policies
Darja Smite, Nils Brede Moe, Jarle Hildrum +2
cs.SEcs.CYarXiv:2203.11136v12022
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
Rebecca L. Russell, Louis Kim, Lei H. Hamilton +5
cs.LGcs.AIcs.SEarXiv:1807.04320v22018
A Survey on Large Language Models for Software Engineering
Quanjun Zhang, Chunrong Fang, Yang Xie +5
cs.SEarXiv:2312.15223v22023
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi +4
cs.SEarXiv:2302.00438v12023
Orchestrating AI-Assisted Code Remediation: Socio-Technical Bottlenecks in a Large Industrial Repository
Andreas Bexell, Lo Gullstrand Heander, Emma söderberg
cs.SEarXiv:2609.29172v12026
CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding
Federico Pennino, Andrea Gurioli, Stefano Zacchiroli +2
cs.SEcs.CLcs.IRarXiv:2609.29474v12026
SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents
Xin He, Yanlin Wang, Mingwei Liu +3
cs.SEcs.AIarXiv:2609.04167v12026
Understanding LLM Usage Among Early-Career Software Engineers in Practice
Julia Alencar, Ronnie de Souza Santos, Italo Santos +2
cs.SEarXiv:2609.27973v12026
LLM-Assisted Workflow for Structural Difference Visualization in Evolving Software Requirements
Koi McFarland, Songhui Yue
cs.SEcs.HCcs.IRarXiv:2609.28002v12026
A Study on the Impact of Natural Language Differences in Prompts on Automatic Code Generation Using LLMs
Haruka Tokumasu, Masanari Kondo, Alexander Serebrenik +5
cs.SEarXiv:2609.18311v12026
Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines
Xue Qin, Simin Luan, Cong Yang +1
cs.SEcs.DCarXiv:2609.00406v12026
Deterministic LLM Inference Across GPU Kernels: Power-of-Two INT8 Quantization Scales and the Limits of Tolerance-Based Conformance
Teng-Ruei Chen
cs.LGcs.SEarXiv:2609.00363v12026
Retrofitting Code Using LLMs to Support Exceptional Behavior
Linghan Zhong, Jiyang Zhang, Jayanth Srinivasa +2
cs.SEcs.CLarXiv:2609.10397v12026
ProofPulse: Interactive Proof Coverage Analysis for Dafny
Álvaro F. Silva, Ruben Martins, Alexandra Mendes
cs.SEarXiv:2608.30818v12026
The Double Measurement Confound in Agent Benchmarks: De-Scaffolding, Ground-Truth Scoring, and Reliability Beyond the Mean
Yonghong Zhang, Shadi Motaali, Vu Phong Dinh +6
cs.SEcond-mat.mtrl-sciarXiv:2609.09218v12026
The History Is the Detector: Executing CVE Patch History, End-to-End
Qiushi Wu, Kevin Eykholt, Youngja Park +4
cs.CRcs.AIcs.SEarXiv:2609.05335v12026
pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation
Brian Plancher
cs.DCcs.SEarXiv:2609.28862v12026
Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games
Gijs van Cuyck, Patric Feldmeier, Jan Tretmans +1
cs.SEcs.NEarXiv:2609.28130v12026
Emergent Behavior and Uncertainty in IoT-Enhanced Business Processes: Challenges and Future Directions
Marco Pegoraro, Sara Pettinari, Ivan Compagnucci +2
cs.ETcs.SEarXiv:2608.28919v12026
On Pretraining for Project-Level Code Completion
Maksim Sapronov, Evgeniy Glukhov
cs.SEcs.LGarXiv:2510.13697v12025
Data-Related Challenges and Requirements for Event Log Generation in Process Mining: A Systematic Literature Review
Ghita El Alaoui Talibi, Oleksandr Kosenkov, Anastasija Nikiforova
cs.SEarXiv:2609.04211v12026
Dynamic Adaptation of the LLM Context for Generating Routines with Coupled Semantics
Gnaneswar Villuri, Hashmath Shaik, Alex Doboli
cs.SEcs.AIarXiv:2609.04570v12026
Design, development, and preliminary validity and reliability evidence of the Software Engineering Self-Efficacy Scale (SESES)
Albert D. Ritzhaupt, Jhonathan Sora-Cardenas, Priya Ganapathy Prasad +3
cs.SEarXiv:2609.29068v12026
Database-Augmented RAG for Automated Repair of REST API Misuses
Shoei Inoue, Norihiro Yoshida, Erina Makihara +2
cs.IRcs.SEarXiv:2608.29290v12026
Scale, Concentration, and Entry Timing in the Shopify App Ecosystem: A Longitudinal Study of Platform Governance and Application Survival
Fabrizio Assabese, Peter-Jan Celis, Giuseppe Destefanis
cs.SEarXiv:2608.23771v12026

Software Engineering

Evaluating Code Recommender Systems: A Review

Conversational Automated Program Repair

Engineering Signals of Human-AI Collaboration in the Agentic Coding Era: A Longitudinal Analysis of 33,228 Pull Requests from vLLM and SGLang with Implications for Biomedical AI Agents and Bioinformatics Pipeline Developmen

Bears: An Extensible Java Bug Benchmark for Automatic Program Repair Studies

From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI Chaining

RLCoder: Reinforcement Learning for Repository-Level Code Completion

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review

Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance

Large Language Model Guided Self-Debugging Code Generation

ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought Prompting

Open Problems in Engineering Machine Learning Systems and the Quality Model

Better patching using LLM prompting, via Self-Consistency

Learning Python Code Suggestion with a Sparse Pointer Network

Logram: Efficient Log Parsing Using n-Gram Dictionaries

Ghera: A Repository of Android App Vulnerability Benchmarks

An Actionable Framework for Understanding and Improving Developer Experience

Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks

Teaching Software Engineering for AI-Enabled Systems

Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice

Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar

Learning Deep Semantics for Test Completion

Hierarchical Knowledge Injection for Improving LLM-based Program Repair

Push Your Agent: Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents

When Language Model Meets Private Library

Towards Autonomous Testing Agents via Conversational Large Language Models

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs

ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents

Training and Evaluating a Jupyter Notebook Data Science Assistant

FRANC: A Lightweight Framework for High-Quality Code Generation

Rethinking Data Quality for AI-Driven Systems: Evidence from Practitioner Interviews

Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development

AGATE: Provenance-Based Runtime Defense Against Compositional Attacks on LLM Agents

Recommender System for Online Dating Service

Identifying Latent Declarative Representations of Code for Assisting Repository Migration

Work-From-Home is Here to Stay: Call for Flexibility in Post-Pandemic Work Policies

Automated Vulnerability Detection in Source Code Using Deep Representation Learning

A Survey on Large Language Models for Software Engineering

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

Orchestrating AI-Assisted Code Remediation: Socio-Technical Bottlenecks in a Large Industrial Repository

CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding

SWE-Gate: Passing Functional Tests Is Not Enough for Software Engineering Agents

Understanding LLM Usage Among Early-Career Software Engineers in Practice

LLM-Assisted Workflow for Structural Difference Visualization in Evolving Software Requirements

A Study on the Impact of Natural Language Differences in Prompts on Automatic Code Generation Using LLMs

Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines

Deterministic LLM Inference Across GPU Kernels: Power-of-Two INT8 Quantization Scales and the Limits of Tolerance-Based Conformance

Retrofitting Code Using LLMs to Support Exceptional Behavior

ProofPulse: Interactive Proof Coverage Analysis for Dafny

The Double Measurement Confound in Agent Benchmarks: De-Scaffolding, Ground-Truth Scoring, and Reliability Beyond the Mean

The History Is the Detector: Executing CVE Patch History, End-to-End

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Scenario-Driven Neuroevolution: Using Models to Guide Test Generation for Games

Emergent Behavior and Uncertainty in IoT-Enhanced Business Processes: Challenges and Future Directions

On Pretraining for Project-Level Code Completion

Data-Related Challenges and Requirements for Event Log Generation in Process Mining: A Systematic Literature Review

Dynamic Adaptation of the LLM Context for Generating Routines with Coupled Semantics

Design, development, and preliminary validity and reliability evidence of the Software Engineering Self-Efficacy Scale (SESES)

Database-Augmented RAG for Automated Repair of REST API Misuses

Scale, Concentration, and Entry Timing in the Shopify App Ecosystem: A Longitudinal Study of Platform Governance and Application Survival