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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661 to 720 of 1,389

  1. ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval

    Aaryan Kapoor, Md Abdullah Al Hafiz Khan

    cs.SEcs.CLcs.IRarXiv:2609.01865v12026
  2. HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?

    Yuhao Wu, Jingyuan Zhang, Jiajun Shi +16

    cs.SEcs.CLarXiv:2609.01437v12026
  3. PaperCompiler: Faithful Paper-to-Code Generation via Repository-Level Specification Compilation

    Yunhao Liu, Hong Phuc Pham, Jaehong Yoon

    cs.CLcs.AIcs.SEarXiv:2609.02272v12026
  4. Post-Training Language Models for Gold-Medal Performance in Coding Competitions

    Aleksander Ficek, Sean Narenthiran, Mehrzad Samadi +2

    cs.LGcs.AIcs.CLarXiv:2609.02849v12026
  5. A Comprehensive Study of Native Code Bugs in Python Applications

    Haoran Yang, Haipeng Cai

    cs.SEcs.CRarXiv:2608.29851v12026
  6. Sampling Projects in GitHub for MSR Studies

    Ozren Dabic, Emad Aghajani, Gabriele Bavota

    cs.SEarXiv:2103.04682v12021
  7. Why Modern Open Source Projects Fail

    Jailton Coelho, Marco Tulio Valente

    cs.SEcs.CYarXiv:1707.02327v12017
  8. NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System

    Xi Victoria Lin, Chenglong Wang, Luke Zettlemoyer +1

    cs.CLcs.SEarXiv:1802.08979v22018
  9. Comparing Code Explanations Created by Students and Large Language Models

    Juho Leinonen, Paul Denny, Stephen MacNeil +5

    cs.CYcs.AIcs.CLarXiv:2304.03938v12023
  10. Tuning for Software Analytics: is it Really Necessary?

    Wei Fu, Tim Menzies, Xipeng Shen

    cs.SEarXiv:1609.01759v12016
  11. ProofPulse: Interactive Proof Coverage Analysis for Dafny

    Álvaro F. Silva, Ruben Martins, Alexandra Mendes

    cs.SEarXiv:2608.30818v12026
  12. Large Language Models for Test-Free Fault Localization

    Aidan Z. H. Yang, Ruben Martins, Claire Le Goues +1

    cs.SEcs.LGarXiv:2310.01726v12023
  13. ReACC: A Retrieval-Augmented Code Completion Framework

    Shuai Lu, Nan Duan, Hojae Han +3

    cs.SEcs.AIcs.CLarXiv:2203.07722v12022
  14. No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation

    Zhiqiang Yuan, Yiling Lou, Mingwei Liu +4

    cs.SEarXiv:2305.04207v32023
  15. A Phased Workflow for Operating LLM-Based Coding Agents

    Ante Kapetanovic, Tomislav Duricic, Andro Mercep +1

    cs.SEarXiv:2608.30701v12026
  16. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

    Yue Huang, Jiawen Shi, Yuan Li +8

    cs.SEcs.CLarXiv:2310.03128v62023
  17. DSEffi-Bench: Demystifying Large Language Models' Capability in Efficient Data Science Code Generation

    Zhihao Gong, Junzhe Yu, Dong Huang +3

    cs.SEarXiv:2608.30248v12026
  18. Open-Source Autonomous Driving System Analysis and Multi-Disciplinary Hardware-in-the-Loop Research Paradigm with Reinforcement-Learning Testing and Large Language Models

    Dianjing Cheng, Yike Li, Lan Yang +23

    cs.SEcs.ROarXiv:2608.30179v12026
  19. Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code

    Fang Liu, Yang Liu, Lin Shi +5

    cs.SEcs.AIarXiv:2404.00971v32024
  20. Update from Hell: Can Coding Agents Survive Hidden Breakage in Dependency Upgrades?

    Zijian Luo, Runzhi He, Pengfei Gao +6

    cs.SEarXiv:2608.30300v12026
  21. LLM-based Hardware Development with Hierarchical IRs and End-to-End Multi-Agent Workflow

    Chenyang Yin, Agasthi Haputhanthri, Aditya Anirudh Jonnalagadda +7

    cs.ARcs.MAcs.SEarXiv:2608.30659v12026
  22. 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
  23. The Exclusion Ratchet: False-Positive Suppression Accumulates and Persists in Detection Rule Repositories

    Sudaroli Dhananjeyan, Kumaran U

    cs.CRcs.SEarXiv:2608.31062v12026
  24. Automated Unit Test Improvement using Large Language Models at Meta

    Nadia Alshahwan, Jubin Chheda, Anastasia Finegenova +6

    cs.SEarXiv:2402.09171v12024
  25. Bridge: Automatically Mining Ecosystem-Scale API Update Mappings and Client Update Instances

    Kai Gao, Yu Sun, Chang-ai Sun

    cs.SEarXiv:2608.30497v12026
  26. ChatGPT and Software Testing Education: Promises & Perils

    Sajed Jalil, Suzzana Rafi, Thomas D. LaToza +2

    cs.SEcs.HCarXiv:2302.03287v32023
  27. Practical Implementation Report on Introducing Spec-Driven Development Using AI Agents in Software Development PBL

    Hidetake Tanaka, Hiroshi Igaki, Kazumasa Shimari +2

    cs.SEarXiv:2608.30572v12026
  28. Federated Trust for Embodied Robot Capability Marketplaces

    Xue Qin, Simin Luan, Cong Yang +1

    cs.CRcs.ROcs.SEarXiv:2609.00404v12026
  29. Harness Engineering: Anatomy, Architecture, and Evolution of Coding Agents -- A Source-Code Study of Eleven Systems

    Paul Barbaste, Tristan Darrigol, Germain Vu +1

    cs.SEcs.MAarXiv:2609.00006v12026
  30. Harvey: A Greybox Fuzzer for Smart Contracts

    Valentin Wüstholz, Maria Christakis

    cs.SEcs.CRarXiv:1905.06944v12019
  31. Audit-First Rollback Semantics for Safety-Critical Deployment Pipelines

    Xue Qin, Simin Luan, Cong Yang +1

    cs.SEcs.DCarXiv:2609.00406v12026
  32. Bounded, Indeterminate, or a Bug: A Condition-Aware Oracle for Differential Testing of SQL Aggregates

    Madhulatha Mandarapu, Sandeep Kunkunuru

    cs.DBcs.SEarXiv:2609.00381v12026
  33. AI with Authority, from Application to Silicon

    Jason Hickey

    cs.SEcs.AIcs.ARarXiv:2608.21356v22026
    Summaries:简体中文
  34. Structured Neural Summarization

    Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt

    cs.LGcs.CLcs.SEarXiv:1811.01824v42018
  35. Good Enough Practices in Scientific Computing

    Greg Wilson, Jennifer Bryan, Karen Cranston +3

    cs.SEarXiv:1609.00037v22016
  36. How Effective are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection

    Asem Ghaleb, Karthik Pattabiraman

    cs.SEarXiv:2005.11613v12020
  37. Database-Augmented RAG for Automated Repair of REST API Misuses

    Shoei Inoue, Norihiro Yoshida, Erina Makihara +2

    cs.IRcs.SEarXiv:2608.29290v12026
  38. Towards Fully Automated Medical Imaging Code Generation via Validation-based Context Engineering

    Zixiao Zhao, Jing Sun, Zhe Hou +5

    cs.CVcs.SEarXiv:2608.29016v12026
  39. 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
  40. Elixir: Effective object-oriented program repair

    Ripon K. Saha, Yingjun Lyu, Hiroaki Yoshida +1

    cs.SEarXiv:2112.10915v12021
  41. DocPrompting: Generating Code by Retrieving the Docs

    Shuyan Zhou, Uri Alon, Frank F. Xu +3

    cs.CLcs.AIcs.SEarXiv:2207.05987v32022
  42. LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

    Gopi Krishnan Rajbahadur, Amir M. Ebrahimi, Boyuan Chen +1

    cs.SEcs.AIcs.LGarXiv:2608.31102v12026
  43. Natural Attack for Pre-trained Models of Code

    Zhou Yang, Jieke Shi, Junda He +1

    cs.SEarXiv:2201.08698v22022
  44. MontiCore: a Framework for Compositional Development of Domain Specific Languages

    Holger Krahn, Bernhard Rumpe, Stefan Völkel

    cs.SEarXiv:1409.2367v12014
  45. Extensible Component Based Architecture for FLASH, A Massively Parallel, Multiphysics Simulation Code

    A. Dubey, L. B. Reid, K. Weide +5

    cs.SEarXiv:0903.4875v22009
  46. TSExplorer: An interactive data annotation and exploration tool for time-series data

    Einari Vaaras, Manu Airaksinen, Okko Räsänen

    cs.HCcs.AIcs.LGarXiv:2608.30514v12026
  47. jTrans: Jump-Aware Transformer for Binary Code Similarity

    Hao Wang, Wenjie Qu, Gilad Katz +5

    cs.CRcs.SEarXiv:2205.12713v12022
  48. What happens when software developers are (un)happy

    Daniel Graziotin, Fabian Fagerholm, Xiaofeng Wang +1

    cs.SEcs.CYarXiv:1707.00432v32017
  49. Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT

    Burak Yetiştiren, Işık Özsoy, Miray Ayerdem +1

    cs.SEarXiv:2304.10778v22023
  50. 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
  51. Multi-task Learning based Pre-trained Language Model for Code Completion

    Fang Liu, Ge Li, Yunfei Zhao +1

    cs.SEarXiv:2012.14631v12020
  52. Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning

    Mingyang Geng, Shangwen Wang, Dezun Dong +5

    cs.SEarXiv:2304.11384v32023
  53. Neural Program Repair with Execution-based Backpropagation

    He Ye, Matias Martinez, Martin Monperrus

    cs.SEarXiv:2105.04123v32021
  54. A Disciplined Approach to Adopting Agile Practices: The Agile Adoption Framework

    Ahmed Sidky, James Arthur, Shawn Bohner

    cs.SEarXiv:0704.1294v12007
  55. Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code

    Rafael-Michael Karampatsis, Hlib Babii, Romain Robbes +2

    cs.SEarXiv:2003.07914v12020
  56. Learning Syntactic Program Transformations from Examples

    Reudismam Rolim, Gustavo Soares, Loris D'Antoni +5

    cs.SEcs.LGcs.PLarXiv:1608.09000v12016
  57. IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments

    Redowan Mahmud, Samodha Pallewatta, Mohammad Goudarzi +1

    cs.DCcs.PFcs.SEarXiv:2109.05636v22021
  58. Mahotas: Open source software for scriptable computer vision

    Luis Pedro Coelho

    cs.CVcs.SEarXiv:1211.4907v22012
  59. Factors that Affect Software Systems Development Project Outcomes: A Survey of Research

    Laurie McLeod, Stephen G. MacDonell

    cs.SEarXiv:2101.08442v12021
  60. Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database

    Sean McGregor

    cs.CYcs.SEarXiv:2011.08512v12020