---
title: "ICSE 2024 — accepted papers — Elamur Research"
description: "ICSE 2024 — accepted papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/"
---
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# ICSE 2024 — accepted papers

ICSE 2024 is the 2024 edition of the IEEE/ACM International Conference on Software Engineering (ICSE). OpenAlex lists 237 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**237** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/#works) · [**171** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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*

## All accepted papers (237)

The most cited first; 2 with our summary link to their page here, the others to the original.

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*

[See all 237 papers in ICSE 2024 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/2024/papers/)

## Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[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/) [IEEE/ACM International Conference on Software Engineering (ICSE)](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/)**Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, et al.*2024 · 156 citations*
2. **[From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging](https://md.research.elamur.ai/free/en/papers/shi-2024-code-correctness-closing-last-mile/) [IEEE/ACM International Conference on Software Engineering (ICSE)](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/)**Yuling Shi, Songsong Wang, Chengcheng Wan, et al.*2024 · 15 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Fields

[Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Michele Merler**1 work here · 156 citations](https://md.research.elamur.ai/free/en/authors/michele-merler/) · [🧑‍🔬**Min Wang**1 work here · 15 citations](https://md.research.elamur.ai/free/en/authors/min-wang/) · [🧑‍🔬**Xiaodong Gu**1 work here · 15 citations](https://md.research.elamur.ai/free/en/authors/xiaodong-gu/) · [🧑‍🔬**Yuling Shi**1 work here · 15 citations](https://md.research.elamur.ai/free/en/authors/yuling-shi/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🏢**IBM** Armonk · United States 1 work here](https://md.research.elamur.ai/free/en/companies/ibm/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 1 work here](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) · [🎓**East China Normal University** Shanghai · China 1 work here](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🎓**University of Pennsylvania** Philadelphia · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🎓**University of California, Davis** Davis · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-davis/)

works and citations from OpenAlex and our library.

- [↑ back to ICSE](https://md.research.elamur.ai/free/en/venues/ieee-acm-international-conference-on-software-engineering-icse/)