📰 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.

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 ↗Daye Nam, Andrew Macvean, Vincent Josua Hellendoorn et al.358 citations
2. Fuzz4All: Universal Fuzzing with Large Language Models ↗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 ↗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 ↗Jenny T. Liang, Chenyang Yang, Brad A. Myers182 citations
5. Prompting Is All You Need: Automated Android Bug Replay with Large Language Models ↗Sidong Feng, Chunyang Chen176 citations
6. Evaluating Large Language Models in Class-Level Code Generation ↗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 ↗Mingyang Geng, Shangwen Wang, Dezun Dong et al.155 citations
8. Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study ↗Qi Guo, Junming Cao, Xiaofei Xie et al.136 citations
9. Large Language Models for Test-Free Fault Localization ↗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 ↗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 ↗Daye Nam, Andrew Macvean, Vincent Josua Hellendoorn et al.358 citations
2. Fuzz4All: Universal Fuzzing with Large Language Models ↗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 ↗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 ↗Jenny T. Liang, Chenyang Yang, Brad A. Myers182 citations
5. Prompting Is All You Need: Automated Android Bug Replay with Large Language Models ↗Sidong Feng, Chunyang Chen176 citations
6. Evaluating Large Language Models in Class-Level Code Generation ↗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 ↗Mingyang Geng, Shangwen Wang, Dezun Dong et al.155 citations
8. Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study ↗Qi Guo, Junming Cao, Xiaofei Xie et al.136 citations
9. Large Language Models for Test-Free Fault Localization ↗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 ↗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 CodeRangeet 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 ↗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 ↗Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang et al.115 citations
14. Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization) ↗Toufique Ahmed, Kunal Suresh Pai, Prémkumar Dévanbu et al.93 citations
15. LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing ↗Zeyang Ma, An Ran Chen, Dong Jae Kim et al.92 citations
16. Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection ↗Benjamin Jeremiah Steenhoek, Hongyang Gao, Wei Le73 citations
17. DivLog: Log Parsing with Prompt Enhanced In-Context Learning ↗Junjielong Xu, Ruichun Yang, Yintong Huo et al.70 citations
18. Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners? ↗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 ↗Rudrajit Choudhuri, Dylan Liu, Igor Steinmacher et al.65 citations
20. PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG) ↗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 ↗Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro et al.64 citations
22. BinaryAI: Binary Software Composition Analysis via Intelligent Binary Source Code Matching ↗Ling Jiang, Junwen An, Huihui Huang et al.64 citations
23. UniLog: Automatic Logging via LLM and In-Context Learning ↗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 ↗Boxi Yu, Jiayi Yao, Qiuai Fu et al.62 citations
25. Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection ↗Yizhou Chen, Zeyu Sun, Zhihao Gong et al.60 citations

See all 237 papers in ICSE 2024 — accepted 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 CodeIEEE/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 DebuggingIEEE/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)

📚 Fields

🖥️Computer Science (2)🎭Arts and Humanities (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🏢IBMArmonk · United States1 work here🎓University of Illinois Urbana-ChampaignUrbana · United States1 work here🎓Shanghai Jiao Tong UniversityShanghai · China1 work here🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States1 work here🎓East China Normal UniversityShanghai · China1 work here🎓University of PennsylvaniaPhiladelphia · United States1 work here🎓University of California, DavisDavis · United States1 work here

works and citations from OpenAlex and our library.

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