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.
Search paper metadata (including unsummarized papers)
1 to 60 of 1,389
Owl Eyes: Spotting UI Display Issues via Visual Understanding
Zhe Liu, Chunyang Chen, Junjie Wang +3
cs.SEarXiv:2009.01417v22020Learning Performance-Improving Code Edits
Alexander Shypula, Aman Madaan, Yimeng Zeng +7
cs.SEcs.AIcs.LGarXiv:2302.07867v52023Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
Anmol Agarwal, Natalie Neamtu, Pranjal Aggarwal +6
cs.SEcs.AIcs.CLarXiv:2605.26457v12026TBar: Revisiting Template-based Automated Program Repair
Kui Liu, Anil Koyuncu, Dongsun Kim +1
cs.SEarXiv:1903.08409v22019VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation
Qijun Han, Haoqin Tu, Zijun Wang +11
cs.CLcs.AIcs.SEarXiv:2604.21375v22026Scaling Test-Time Compute for Agentic Coding
Joongwon Kim, Wannan Yang, Kelvin Niu +13
cs.SEcs.AIcs.CLarXiv:2604.16529v12026Log-based Anomaly Detection Without Log Parsing
Van-Hoang Le, Hongyu Zhang
cs.SEcs.AIarXiv:2108.01955v32021Developer Attitudes and Practices Towards Optimizing Software Energy Consumption
Max Weber, Alina Mailach, Florian Sattler +2
cs.SEarXiv:2608.30527v12026FuzzingBrain-Bench V1: Evaluating Open-Ended Bug Discovery by LLMs
Ze Sheng, Aleksandar Kezic, Zhicheng Chen +1
cs.AIcs.CRcs.LGarXiv:2608.25158v12026Secret MCP: Evidence-Bounded and Context-Isolated Design Specification Generation from Web Screenshots
Yeongjin Jo
cs.SEarXiv:2608.24944v12026What is Wrong with Topic Modeling? (and How to Fix it Using Search-based Software Engineering)
Amritanshu Agrawal, Wei Fu, Tim Menzies
cs.SEcs.AIcs.CLarXiv:1608.08176v42016MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences
Qihao Wang, Ziming Cheng, Shuo Zhang +12
cs.SEcs.AIarXiv:2601.06789v22026Repo0: Design-Driven Zero-to-All Code Generation
Silin Chen, Haoyi Teng, Xiaodong Gu +5
cs.SEcs.AIarXiv:2608.19854v12026A Comparative Study of Programming Languages in Rosetta Code
Sebastian Nanz, Carlo A. Furia
cs.SEarXiv:1409.0252v42014Flama: a Python framework for development and deployment of production-ready APIs, machine learning, and LLM services
José A. Perdiguero López, Miguel A. Durán-Olivencia
cs.SEcs.AIcs.LGarXiv:2608.18733v12026GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo, Shuo Ren, Shuai Lu +15
cs.SEcs.CLarXiv:2009.08366v42020The Quality of Claude AI-authored Python Tests Is Not Weaker Than Human-authored Tests
Douglas J. Leith
cs.SEcs.AIarXiv:2608.15188v12026SWE-Pruner Pro: The Coder LLM Already Knows What to Prune
Yuhang Wang, Yuling Shi, Shaoqiu Zhang +6
cs.CLcs.SEarXiv:2607.18213v12026SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
John Yang, Carlos E. Jimenez, Alexander Wettig +4
cs.SEcs.AIcs.CLarXiv:2405.15793v32024SyGuS-Comp 2016: Results and Analysis
Rajeev Alur, Dana Fisman, Rishabh Singh +1
cs.SEcs.LGcs.LOarXiv:1611.07627v12016Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control
Jek Huang, Jeffery Hsia, Jiayi Sun +3
cs.AIcs.SEarXiv:2607.14890v12026Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Zhensu Sun, Xiaoning Du, Fu Song +4
cs.SEcs.AIarXiv:2209.05948v32022When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.HCcs.LGcs.SEarXiv:2306.04930v32023Summaries:한국어Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Evan Hubinger, Carson Denison, Jesse Mu +36
cs.CRcs.AIcs.CLarXiv:2401.05566v32024An Analysis of the Automatic Bug Fixing Performance of ChatGPT
Dominik Sobania, Martin Briesch, Carol Hanna +1
cs.SEarXiv:2301.08653v12023Minimal Prompt Perturbations Lead to Code Vulnerabilities: Prompt Fragility and Hidden-State Signals in Coding LLMs
Alexander Sternfeld, Andrei Kucharavy, Ljiljana Dolamic
cs.CRcs.CLcs.SEarXiv:2605.29737v12026A 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:2609.18311v12026MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks
Sicong Cao, Xiaobing Sun, Lili Bo +3
cs.CRcs.SEarXiv:2203.02660v12022Search-Based Metamorphic Testing of Vision-Language Models in Autonomous Underwater Robotic Software
Muhammad Yousaf, Aitor Arrieta, Shaukat Ali +2
cs.SEarXiv:2609.17007v12026A Case-Bundle Operating Model for Coding Agents in OpenFOAM-Based CFD
Ke Xiao, Han Li, Teng Zhang +3
cs.SEcs.CEcs.DCarXiv:2609.11941v12026Models as Governed Interfaces for AI-Native MBSE: Read-Side Adequacy and Write-Side Admissibility
Jason Gower, Michael J. de C. Henshaw, Siyuan Ji
cs.SEcs.AIarXiv:2609.16252v12026An Exploratory Study of Dependabot Cooldown Adoption in Open-Source GitHub Projects
Hidetake Tanaka, Rikuto Tsuchida, Kazumasa Shimari +2
cs.SEarXiv:2609.16605v12026Intelligent Semantic Matching (ISM) for Video Tutorial Search using Transformer Models
Ahmad J. Tayeb, Sonia Haiduc
cs.SEarXiv:2609.12921v12026AI Policies: Help or Hindrance? A Software Developer's Perspective
Samuel Ferino, Rashina Hoda, John Grundy +2
cs.SEcs.AIarXiv:2609.16496v12026Towards an Asset Administration Shell Maturity Model
Carsten Ellwein, David Dietrich, Rozana Cvitkovic +1
cs.SEeess.SYarXiv:2609.17084v12026MaRDMO: FAIR Documentation of In-Silico Research
Marco Reidelbach, Marcus Weber
cs.DLcs.SEarXiv:2609.11931v12026Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement
Chance LaVoie, Eladio Andujar Lugo, Taylan G. Topcu +1
cs.SEcs.AIarXiv:2607.14162v12026FrontierCS: Evolving Challenges for Evolving Intelligence
Qiuyang Mang, Wenhao Chai, Zhifei Li +48
cs.LGcs.SEarXiv:2512.15699v12025Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1
cs.SEcs.LGarXiv:2609.17338v12026Guidelines for the Search Strategy to Update Systematic Literature Reviews in Software Engineering
Claes Wohlin, Emilia Mendes, Katia Romero Felizardo +1
cs.SEarXiv:2006.05542v12020SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering
Jingzhi Gong, Ruizhen Gu, Zhiwei Fei +7
cs.SEcs.AIarXiv:2604.09297v32026How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions
Ningzhi Tang, Chaoran Chen, Gelei Xu +5
cs.SEcs.AIcs.HCarXiv:2605.29442v22026Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices
Lingzhe Zhang, Tong Jia, Yunpeng Zhai +5
cs.SEcs.AIarXiv:2601.02732v12026FixMiner: Mining Relevant Fix Patterns for Automated Program Repair
Anil Koyuncu, Kui Liu, Tegawendé F. Bissyandé +4
cs.SEarXiv:1810.01791v22018Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
Martin White, Michele Tufano, Matias Martinez +2
cs.SEarXiv:1707.04742v22017Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices
Mojtaba Shahin, Muhammad Ali Babar, Liming Zhu
cs.SEarXiv:1703.07019v12017A Survey of Smart Contract Formal Specification and Verification
Palina Tolmach, Yi Li, Shang-Wei Lin +2
cs.SEarXiv:2008.02712v32020Learn&Fuzz: Machine Learning for Input Fuzzing
Patrice Godefroid, Hila Peleg, Rishabh Singh
cs.AIcs.CRcs.LGarXiv:1701.07232v12017The BrowserGym Ecosystem for Web Agent Research
Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin +17
cs.LGcs.AIcs.SEarXiv:2412.05467v42024Lie to Me: Finding Bugs in ZK DSL Toolchains with Adversarial Witness Injection
Sebastian Watzinger, Christoph Hochrainer, Valentin Wüstholz +1
cs.CRcs.SEarXiv:2608.30648v12026ChatDev: Communicative Agents for Software Development
Chen Qian, Wei Liu, Hongzhang Liu +11
cs.SEcs.CLcs.MAarXiv:2307.07924v52023FoldKit: A Python library for efficient storage and retrieval of co-folding predictions
Jonathan A. Levine, Melissa Pathil, Samuel Nitz +2
q-bio.QMcs.SEarXiv:2608.28788v12026Operationalizing Regulations into Code: A Model to Enhance Governance and Compliance in LLM Selection for Software Engineering
Jonysberg Quintino, Hermano Moura, Filipe Calegário
cs.SEarXiv:2608.27703v12026MemToC: Benchmarking Memory-Tool Conflict Resolution in Large Language Models
Arseniy Varlamov, Rishat Zinnatullin, Elisei Rykov +2
cs.CLcs.AIcs.MAarXiv:2608.26295v12026From Natural Language Requirements to Graphical User Interfaces: Automated Prototyping and Verification with Pretrained Language Models
Kristian Kolthoff
cs.SEarXiv:2608.24749v12026On the Use of Deep Learning in Software Defect Prediction
Görkem Giray, Kwabena Ebo Bennin, Ömer Köksal +2
cs.SEarXiv:2210.02236v12022Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition
Mingjie Li, Zeyan Li, Kanglin Yin +4
cs.SEcs.AIarXiv:2206.05871v12022Getafix: Learning to Fix Bugs Automatically
Johannes Bader, Andrew Scott, Michael Pradel +1
cs.SEarXiv:1902.06111v52019Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere, Jie M. Zhang, Francois Charton +3
cs.SEcs.CLcs.LGarXiv:2110.06773v22021AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
Kai Chen, Zichen Ding, Jiaye Ge +20
cs.AIcs.SEarXiv:2607.13705v32026