---
title: "ICSE 2024 — all accepted papers with summaries and citations"
description: "All 237 papers of ICSE 2024 · page 1 of 3, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/papers/"
---
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# ICSE 2024: all accepted papers

237 papers · page 1 of 3 · the most cited first · [← ICSE 2024](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/)

**1** [2](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/papers/page/2/) [3](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/papers/page/3/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/papers/page/2/)

1. **[Using an LLM to Help With Code Understanding ↗](https://doi.org/10.1145/3597503.3639187)**Daye Nam, Andrew Macvean, Vincent Josua Hellendoorn et al.*358 citations*
2. **[Fuzz4All: Universal Fuzzing with Large Language Models ↗](https://doi.org/10.1145/3597503.3639121)**Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian et al.*225 citations*
3. **[GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis ↗](https://doi.org/10.1145/3597503.3639117)**Yuqiang Sun, Daoyuan Wu, Yue Xue et al.*212 citations*
4. **[A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges ↗](https://doi.org/10.1145/3597503.3608128)**Jenny T. Liang, Chenyang Yang, Brad A. Myers*182 citations*
5. **[Prompting Is All You Need: Automated Android Bug Replay with Large Language Models ↗](https://doi.org/10.1145/3597503.3608137)**Sidong Feng, Chunyang Chen*176 citations*
6. **[Evaluating Large Language Models in Class-Level Code Generation ↗](https://doi.org/10.1145/3597503.3639219)**Xueying Du, Mingwei Liu, Kaixin Wang et al.*162 citations*
7. **[Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning ↗](https://doi.org/10.1145/3597503.3608134)**Mingyang Geng, Shangwen Wang, Dezun Dong et al.*155 citations*
8. **[Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study ↗](https://doi.org/10.1145/3597503.3623306)**Qi Guo, Junming Cao, Xiaofei Xie et al.*136 citations*
9. **[Large Language Models for Test-Free Fault Localization ↗](https://doi.org/10.1145/3597503.3623342)**Aidan Z. H. Yang, Claire Le Goues, Ruben Martins et al.*135 citations*
10. **[CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models ↗](https://doi.org/10.1145/3597503.3623316)**Hao Yu, Bo Shen, Dezhi Ran et al.*134 citations*
11. **[Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code](https://md.research.elamur.ai/free/en/papers/pan-2024-lost-translation-study-bugs-introduced/)**Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna et al.*131 citations · our summary*
12. **[Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions ↗](https://doi.org/10.1145/3597503.3639180)**Zhe Liu, Chunyang Chen, Junjie Wang et al.*125 citations*
13. **[Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries ↗](https://doi.org/10.1145/3597503.3623343)**Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang et al.*115 citations*
14. **[Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization) ↗](https://doi.org/10.1145/3597503.3639183)**Toufique Ahmed, Kunal Suresh Pai, Prémkumar Dévanbu et al.*93 citations*
15. **[LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing ↗](https://doi.org/10.1145/3597503.3639150)**Zeyang Ma, An Ran Chen, Dong Jae Kim et al.*92 citations*
16. **[Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection ↗](https://doi.org/10.1145/3597503.3623345)**Benjamin Jeremiah Steenhoek, Hongyang Gao, Wei Le*73 citations*
17. **[DivLog: Log Parsing with Prompt Enhanced In-Context Learning ↗](https://doi.org/10.1145/3597503.3639155)**Junjielong Xu, Ruichun Yang, Yintong Huo et al.*70 citations*
18. **[Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners? ↗](https://doi.org/10.1145/3597503.3623302)**Stefanos Chaliasos, Marcos Antonions Charalambous, Liyi Zhou et al.*69 citations*
19. **[How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering ↗](https://doi.org/10.1145/3597503.3639201)**Rudrajit Choudhuri, Dylan Liu, Igor Steinmacher et al.*65 citations*
20. **[PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG) ↗](https://doi.org/10.1145/3597503.3623318)**Ruichao Liang, Jing Chen, Kun He et al.*65 citations*
21. **[BOMs Away! Inside the Minds of Stakeholders: A Comprehensive Study of Bills of Materials for Software Systems ↗](https://doi.org/10.1145/3597503.3623347)**Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro et al.*64 citations*
22. **[BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching ↗](https://doi.org/10.1145/3597503.3639100)**Ling Jiang, Junwen An, Huihui Huang et al.*64 citations*
23. **[UniLog: Automatic Logging via LLM and In-Context Learning ↗](https://doi.org/10.1145/3597503.3623326)**Junjielong Xu, Ziang Cui, Yuan Zhao et al.*64 citations*
24. **[Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection ↗](https://doi.org/10.1145/3597503.3623308)**Boxi Yu, Jiayi Yao, Qiuai Fu et al.*62 citations*
25. **[Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection ↗](https://doi.org/10.1145/3597503.3639173)**Yizhou Chen, Zeyu Sun, Zhihao Gong et al.*60 citations*
26. **[Language Models for Code Completion: A Practical Evaluation ↗](https://doi.org/10.1145/3597503.3639138)**Maliheh Izadi, Jonathan Katzy, Tim van Dam et al.*57 citations*
27. **[Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources ↗](https://doi.org/10.1145/3597503.3639222)**Xin Zhou, Kisub Kim, Bowen Xu et al.*54 citations*
28. **[Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model ↗](https://doi.org/10.1145/3597503.3639118)**Zhe Liu, Chunyang Chen, Junjie Wang et al.*53 citations*
29. **[Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors ↗](https://doi.org/10.1145/3597503.3608132)**Yun Peng, Shuzheng Gao, Cuiyun Gao et al.*51 citations*
30. **[SCVHunter: Smart Contract Vulnerability Detection Based on Heterogeneous Graph Attention Network ↗](https://doi.org/10.1145/3597503.3639213)**Luo Feng, Ruijie Luo, Ting Chen et al.*50 citations*
31. **[ITER: Iterative Neural Repair for Multi-Location Patches ↗](https://doi.org/10.1145/3597503.3623337)**He Ye, Martin Monperrus*46 citations*
32. **[Unveiling Memorization in Code Models ↗](https://doi.org/10.1145/3597503.3639074)**Zhou Yang, Zhipeng Zhao, Chenyu Wang et al.*45 citations*
33. **[Xpert: Empowering Incident Management with Query Recommendations via Large Language Models ↗](https://doi.org/10.1145/3597503.3639081)**Yuxuan Jiang, Chaoyun Zhang, Shilin He et al.*43 citations*
34. **[Code Search is All You Need? Improving Code Suggestions with Code Search ↗](https://doi.org/10.1145/3597503.3639085)**Junkai Chen, Xing Hu, Zhenhao Li et al.*42 citations*
35. **[Fairness Improvement with Multiple Protected Attributes: How Far Are We? ↗](https://doi.org/10.1145/3597503.3639083)**Zhenpeng Chen, Jie M. Zhang, Federica Sarro et al.*42 citations*
36. **[Property-Based Testing in Practice ↗](https://doi.org/10.1145/3597503.3639581)**Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein et al.*41 citations*
37. **[Are We There Yet? Unraveling the State-of-the-Art Smart Contract Fuzzers ↗](https://doi.org/10.1145/3597503.3639152)**Shuohan Wu, Zihao Li, Luyi Yan et al.*40 citations*
38. **[Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems ↗](https://doi.org/10.1145/3597503.3639168)**Sicong Cao, Xiaobing Sun, Xiaoxue Wu et al.*40 citations*
39. **[MetaLog: Generalizable Cross-System Anomaly Detection from Logs with Meta-Learning ↗](https://doi.org/10.1145/3597503.3639205)**Chenyangguang Zhang, Tong Jia, Guopeng Shen et al.*37 citations*
40. **[TRACED: Execution-aware Pre-training for Source Code ↗](https://doi.org/10.1145/3597503.3608140)**Yangruibo Ding, Benjamin Jeremiah Steenhoek, Kexin Pei et al.*36 citations*
41. **[KnowLog: Knowledge Enhanced Pre-trained Language Model for Log Understanding ↗](https://doi.org/10.1145/3597503.3623304)**Lipeng Ma, Weidong Yang, Bo Xu et al.*35 citations*
42. **[A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments ↗](https://doi.org/10.1145/3597503.3623320)**Cuiying Gao, Gaozhun Huang, Heng Li et al.*34 citations*
43. **[Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization ↗](https://doi.org/10.1145/3597503.3639174)**Antonio Mastropaolo, Matteo Ciniselli, Massimiliano Di Penta et al.*34 citations*
44. **[CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace ↗](https://doi.org/10.1145/3597503.3623298)**Yuchao Huang, Junjie Wang, Zhe Liu et al.*32 citations*
45. **[LogShrink: Effective Log Compression by Leveraging Commonality and Variability of Log Data ↗](https://doi.org/10.1145/3597503.3608129)**Xiaoyun Li, Hongyu Zhang, Van-Hoang Le et al.*32 citations*
46. **[Traces of Memorisation in Large Language Models for Code ↗](https://doi.org/10.1145/3597503.3639133)**Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen*32 citations*
47. **[Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs ↗](https://doi.org/10.1145/3597503.3639223)**Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski*32 citations*
48. **[FlashSyn: Flash Loan Attack Synthesis via Counter Example Driven Approximation ↗](https://doi.org/10.1145/3597503.3639190)**Zhiyang Chen, Sidi Mohamed Beillahi, Fan Long*31 citations*
49. **[Towards Causal Deep Learning for Vulnerability Detection ↗](https://doi.org/10.1145/3597503.3639170)**Md. Mahbubur Rahman, Ira Ceka, Chengzhi Mao et al.*30 citations*
50. **[Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts ↗](https://doi.org/10.1145/3597503.3639153)**Shuo Yang, Jiachi Chen, Mingyuan Huang et al.*30 citations*
51. **[VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses ↗](https://doi.org/10.1145/3597503.3639116)**Yu Nong, Richard Fang, Guangbei Yi et al.*29 citations*
52. **[Learning-based Widget Matching for Migrating GUI Test Cases ↗](https://doi.org/10.1145/3597503.3623322)**Yakun Zhang, Wenjie Zhang, Dezhi Ran et al.*28 citations*
53. **[Deeply Reinforcing Android GUI Testing with Deep Reinforcement Learning ↗](https://doi.org/10.1145/3597503.3623344)**Yuanhong Lan, Yifei Lu, Zhong Li et al.*27 citations*
54. **[On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities ↗](https://doi.org/10.1145/3597503.3639218)**Zhen Li, Ning Wang, Deqing Zou et al.*27 citations*
55. **[An Empirical Study on Low GPU Utilization of Deep Learning Jobs ↗](https://doi.org/10.1145/3597503.3639232)**Yanjie Gao, Yichen He, Xinze Li et al.*26 citations*
56. **[Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks ↗](https://doi.org/10.1145/3597503.3639142)**Zhongxin Liu, Zhijie Tang, Junwei Zhang et al.*26 citations*
57. **[Resource Usage and Optimization Opportunities in Workflows of GitHub Actions ↗](https://doi.org/10.1145/3597503.3623303)**Islem Bouzenia, Michael Pradel*25 citations*
58. **[Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection ↗](https://doi.org/10.1145/3597503.3639114)**Siyue Feng, Wenqi Suo, Yueming Wu et al.*24 citations*
59. **[Enhancing Exploratory Testing by Large Language Model and Knowledge Graph ↗](https://doi.org/10.1145/3597503.3639157)**Yanqi Su, Dianshu Liao, Zhenchang Xing et al.*23 citations*
60. **[MalCertain: Enhancing Deep Neural Network Based Android Malware Detection by Tackling Prediction Uncertainty ↗](https://doi.org/10.1145/3597503.3639122)**Haodong Li, Guosheng Xu, Liu Wang et al.*23 citations*
61. **[Mozi: Discovering DBMS Bugs via Configuration-Based Equivalent Transformation ↗](https://doi.org/10.1145/3597503.3639112)**Jie Liang, Zhiyong Wu, Jingzhou Fu et al.*23 citations*
62. **[PyTy: Repairing Static Type Errors in Python ↗](https://doi.org/10.1145/3597503.3639184)**Yiu Wai Chow, Luca Di Grazia, Michael Pradel*23 citations*
63. **[An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives ↗](https://doi.org/10.1145/3597503.3639082)**Hanyang Guo, Hong‐Ning Dai, Xiapu Luo et al.*22 citations*
64. **[Combining Structured Static Code Information and Dynamic Symbolic Traces for Software Vulnerability Prediction ↗](https://doi.org/10.1145/3597503.3639212)**Huanting Wang, Zhanyong Tang, Shin Hwei Tan et al.*21 citations*
65. **[Cross-Inlining Binary Function Similarity Detection ↗](https://doi.org/10.1145/3597503.3639080)**Ang Jia, Ming Yu Fan, Xi Xu et al.*21 citations*
66. **[MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems ↗](https://doi.org/10.1145/3597503.3639191)**Xinyu Gao, Zhijie Wang, Yang Feng et al.*21 citations*
67. **[On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study ↗](https://doi.org/10.1145/3597503.3639091)**Zongjie Li, Chaozheng Wang, Pingchuan Ma et al.*21 citations*
68. **[Translation Validation for JIT Compiler in the V8 JavaScript Engine ↗](https://doi.org/10.1145/3597503.3639189)**Seungwan Kwon, Jaeseong Kwon, Wooseok Kang et al.*21 citations*
69. **[Out of Context: How important is Local Context in Neural Program Repair? ↗](https://doi.org/10.1145/3597503.3639086)**Julian Aron Prenner, Romain Robbes*20 citations*
70. **[Toward Improved Deep Learning-based Vulnerability Detection ↗](https://doi.org/10.1145/3597503.3608141)**Adriana Sejfia, Satyaki Das, Saad Shafiq et al.*20 citations*
71. **[CNEPS: A Precise Approach for Examining Dependencies among Third-Party C/C++ Open-Source Components ↗](https://doi.org/10.1145/3597503.3639209)**Yoonjong Na, Seunghoon Woo, Joomyeong Lee et al.*19 citations*
72. **[Detecting Logic Bugs in Graph Database Management Systems via Injective and Surjective Graph Query Transformation ↗](https://doi.org/10.1145/3597503.3623307)**Yuancheng Jiang, Jiahao Liu, Jinsheng Ba et al.*19 citations*
73. **[Empirical Analysis of Vulnerabilities Life Cycle in Golang Ecosystem ↗](https://doi.org/10.1145/3597503.3639230)**Jinchang Hu, Lyuye Zhang, Chengwei Liu et al.*19 citations*
74. **[NuzzleBug: Debugging Block-Based Programs in Scratch ↗](https://doi.org/10.1145/3597503.3623331)**Adina Deiner, Gordon Fraser*19 citations*
75. **[PrettySmart: Detecting Permission Re-delegation Vulnerability for Token Behaviors in Smart Contracts ↗](https://doi.org/10.1145/3597503.3639140)**Zhijie Zhong, Zibin Zheng, Hong‐Ning Dai et al.*19 citations*
76. **[RPG: Rust Library Fuzzing with Pool-based Fuzz Target Generation and Generic Support ↗](https://doi.org/10.1145/3597503.3639102)**Zhiwu Xu, Bohao Wu, Cheng Wen et al.*19 citations*
77. **[Safeguarding DeFi Smart Contracts against Oracle Deviations ↗](https://doi.org/10.1145/3597503.3639225)**Xun Deng, Sidi Mohamed Beillahi, Cyrus Minwalla et al.*19 citations*
78. **[Trace-based Multi-Dimensional Root Cause Localization of Performance Issues in Microservice Systems ↗](https://doi.org/10.1145/3597503.3639088)**Chenxi Zhang, Zhen Dong, Xin Peng et al.*19 citations*
79. **[Automated Program Repair, What Is It Good For? Not Absolutely Nothing! ↗](https://doi.org/10.1145/3597503.3639095)**Hadeel Mohamed Eladawy, Claire Le Goues, Yuriy Brun*18 citations*
80. **[Demystifying and Detecting Misuses of Deep Learning APIs ↗](https://doi.org/10.1145/3597503.3639177)**Moshi Wei, Nima Shiri Harzevili, Yue-Kai Huang et al.*18 citations*
81. **[Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models ↗](https://doi.org/10.1145/3597503.3639216)**Shuzheng Gao, Wenxin Mao, Cuiyun Gao et al.*18 citations*
82. **[CERT: Finding Performance Issues in Database Systems Through the Lens of Cardinality Estimation ↗](https://doi.org/10.1145/3597503.3639076)**Jinsheng Ba, Manuel Rigger*17 citations*
83. **[ECFuzz: Effective Configuration Fuzzing for Large-Scale Systems ↗](https://doi.org/10.1145/3597503.3623315)**Junqiang Li, Senyi Li, K Li et al.*17 citations*
84. **[Exploring Experiences with Automated Program Repair in Practice ↗](https://doi.org/10.1145/3597503.3639182)**Fairuz Nawer Meem, Justin Smith, Brittany Johnson*17 citations*
85. **[Generating REST API Specifications through Static Analysis ↗](https://doi.org/10.1145/3597503.3639137)**Ruikai Huang, Manish Motwani, Idel Martinez et al.*17 citations*
86. **[Is unsafe an Achilles' Heel? A Comprehensive Study of Safety Requirements in Unsafe Rust Programming ↗](https://doi.org/10.1145/3597503.3639136)**Mohan Cui, Shuran Sun, Hui Xu et al.*17 citations*
87. **[LibvDiff: Library Version Difference Guided OSS Version Identification in Binaries ↗](https://doi.org/10.1145/3597503.3623336)**Chaopeng Dong, Siyuan Li, Shouguo Yang et al.*17 citations*
88. **[SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems ↗](https://doi.org/10.1145/3597503.3623350)**Jiarun Dai, Bufan Gao, Mingyuan Luo et al.*17 citations*
89. **[A User-centered Security Evaluation of Copilot ↗](https://doi.org/10.1145/3597503.3639154)**Owura Asare, Meiyappan Nagappan, N. Asokan*16 citations*
90. **[Analyzing and Debugging Normative Requirements via Satisfiability Checking ↗](https://doi.org/10.1145/3597503.3639093)**Nick Feng, Lina Marsso, Sinem Getir Yaman et al.*16 citations*
91. **[Do Automatic Test Generation Tools Generate Flaky Tests? ↗](https://doi.org/10.1145/3597503.3608138)**Martin Grůber, Muhammad Firhard Roslan, Owain Parry et al.*16 citations*
92. **[EDEFuzz: A Web API Fuzzer for Excessive Data Exposures ↗](https://doi.org/10.1145/3597503.3608133)**Lianglu Pan, Shaanan Cohney, Toby Murray et al.*16 citations*
93. **[FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing ↗](https://doi.org/10.1145/3597503.3623321)**Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel et al.*16 citations*
94. **[GenderMag Improves Discoverability in the Field, Especially for Women ↗](https://doi.org/10.1145/3597503.3639097)**Emerson R. Murphy-Hill, Alberto Elizondo, Ambar Murillo et al.*16 citations*
95. **[How do Developers Talk about GitHub Actions? Evidence from Online Software Development Community ↗](https://doi.org/10.1145/3597503.3623327)**Yang Zhang, Yiwen Wu, Tingting Chen et al.*16 citations*
96. **[MotorEase: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs ↗](https://doi.org/10.1145/3597503.3639167)**Arun Krishna Vajjala, S M Hasan Mansur, Justin Jose et al.*16 citations*
97. **[On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization ↗](https://doi.org/10.1145/3597503.3608139)**Junayed Mahmud, Nadeeshan De Silva, Safwat Ali Khan et al.*16 citations*
98. **[Sedar: Obtaining High-Quality Seeds for DBMS Fuzzing via Cross-DBMS SQL Transfer ↗](https://doi.org/10.1145/3597503.3639210)**Jingzhou Fu, Jie Liang, Zhiyong Wu et al.*16 citations*
99. **[Unraveling the Drivers of Sense of Belonging in Software Delivery Teams: Insights from a Large-Scale Survey ↗](https://doi.org/10.1145/3597503.3639119)**Bianca Trinkenreich, Marco Aurélio Gerosa, Igor Steinmacher*16 citations*
100. **[Unveiling the Life Cycle of User Feedback: Best Practices from Software Practitioners ↗](https://doi.org/10.1145/3597503.3623309)**Ze Shi Li, Nowshin Nawar Arony, Kezia Devathasan et al.*16 citations*

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