---
title: "ACM Transactions on Software Engineering and Methodology"
description: "ACM Transactions on Software Engineering and Methodology 2024 — papers: 1 paper in the Elamur Research library, with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2024/"
---
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# ACM Transactions on Software Engineering and Methodology 2024 — papers

The works of ACM Transactions on Software Engineering and Methodology published in 2024 that our library holds (publisher: Association for Computing Machinery): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**269** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2024/#works) · [**367** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/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. **[Large Language Models for Software Engineering: A Systematic Literature Review ↗](https://doi.org/10.1145/3695988)**Xinyi Hou, Yanjie Zhao, Yue Liu et al.*981 citations*
2. **[Self-Collaboration Code Generation via ChatGPT](https://md.research.elamur.ai/free/en/papers/dong-2023-self-collaboration-code-generation/)**Yihong Dong, Xue Jiang, Zhi Gang Jin et al.*250 citations · our summary*
3. **[An Empirical Study of the Non-Determinism of ChatGPT in Code Generation ↗](https://doi.org/10.1145/3697010)**Shuyin Ouyang, Jie M. Zhang, Mark Harman et al.*247 citations*
4. **[Navigating the Complexity of Generative AI Adoption in Software Engineering ↗](https://doi.org/10.1145/3652154)**Daniel Russo*215 citations*
5. **[Self-Planning Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2023-self-planning-code-generation-large/)**Xue Jiang, Yihong Dong, L. F. Wang et al.*153 citations · our summary*
6. **[Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues ↗](https://doi.org/10.1145/3643674)**Yue Liu, Thanh Le-Cong, Ratnadira Widyasari et al.*146 citations*
7. **[Structured Chain-of-Thought Prompting for Code Generation ↗](https://doi.org/10.1145/3690635)**Jia Li, Ge Li, Yongmin Li et al.*141 citations*
8. **[Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead ↗](https://doi.org/10.1145/3708522)**Xin Zhou, Sicong Cao, Xiaobing Sun et al.*132 citations*
9. **[Fairness Testing: A Comprehensive Survey and Analysis of Trends ↗](https://doi.org/10.1145/3652155)**Zhenpeng Chen, Jie M. Zhang, Max Hort et al.*98 citations*
10. **[Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study ↗](https://doi.org/10.1145/3695998)**Damiano Torre, Anitha Chennamaneni, JaeYun Jo et al.*96 citations*

## All works of the year (269)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Large Language Models for Software Engineering: A Systematic Literature Review ↗](https://doi.org/10.1145/3695988)**Xinyi Hou, Yanjie Zhao, Yue Liu et al.*981 citations*
2. **[Self-Collaboration Code Generation via ChatGPT](https://md.research.elamur.ai/free/en/papers/dong-2023-self-collaboration-code-generation/)**Yihong Dong, Xue Jiang, Zhi Gang Jin et al.*250 citations · our summary*
3. **[An Empirical Study of the Non-Determinism of ChatGPT in Code Generation ↗](https://doi.org/10.1145/3697010)**Shuyin Ouyang, Jie M. Zhang, Mark Harman et al.*247 citations*
4. **[Navigating the Complexity of Generative AI Adoption in Software Engineering ↗](https://doi.org/10.1145/3652154)**Daniel Russo*215 citations*
5. **[Self-Planning Code Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2023-self-planning-code-generation-large/)**Xue Jiang, Yihong Dong, L. F. Wang et al.*153 citations · our summary*
6. **[Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues ↗](https://doi.org/10.1145/3643674)**Yue Liu, Thanh Le-Cong, Ratnadira Widyasari et al.*146 citations*
7. **[Structured Chain-of-Thought Prompting for Code Generation ↗](https://doi.org/10.1145/3690635)**Jia Li, Ge Li, Yongmin Li et al.*141 citations*
8. **[Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead ↗](https://doi.org/10.1145/3708522)**Xin Zhou, Sicong Cao, Xiaobing Sun et al.*132 citations*
9. **[Fairness Testing: A Comprehensive Survey and Analysis of Trends ↗](https://doi.org/10.1145/3652155)**Zhenpeng Chen, Jie M. Zhang, Max Hort et al.*98 citations*
10. **[Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study ↗](https://doi.org/10.1145/3695998)**Damiano Torre, Anitha Chennamaneni, JaeYun Jo et al.*96 citations*
11. **[When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We? ↗](https://doi.org/10.1145/3702973)**Chong Chen, Jianzhong Su, Jiachi Chen et al.*85 citations*
12. **[CodeScore: Evaluating Code Generation by Learning Code Execution ↗](https://doi.org/10.1145/3695991)**Yihong Dong, Jiazheng Ding, Xue Jiang et al.*64 citations*
13. **[On the Effectiveness of Large Language Models in Domain-Specific Code Generation ↗](https://doi.org/10.1145/3697012)**Xiaodong Gu, Meng Chen, Yalan Lin et al.*56 citations*
14. **[Automatic Programming: Large Language Models and Beyond ↗](https://doi.org/10.1145/3708519)**Michael Rung-Tsong Lyu, Baishakhi Ray, Abhik Roychoudhury et al.*49 citations*
15. **[Efficient and Green Large Language Models for Software Engineering: Literature Review, Vision, and the Road Ahead ↗](https://doi.org/10.1145/3708525)**Jieke Shi, Zhou Yang, David Lo*42 citations*
16. **[Exploring the Capabilities of LLMs for Code-Change-Related Tasks ↗](https://doi.org/10.1145/3709358)**Lishui Fan, Jiakun Liu, Zhongxin Liu et al.*40 citations*
17. **[Revisiting Sentiment Analysis for Software Engineering in the Era of Large Language Models ↗](https://doi.org/10.1145/3697009)**Ting Zhang, Ivana Clairine Irsan, Ferdian Thung et al.*40 citations*
18. **[DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks ↗](https://doi.org/10.1145/3644388)**Zohreh Aghababaeyan, Manel Abdellatif, Mahboubeh Dadkhah et al.*37 citations*
19. **[Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities ↗](https://doi.org/10.1145/3664606)**Wei Ma, Shangqing Liu, Mengjie Zhao et al.*36 citations*
20. **[Towards Effective Detection of Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph ↗](https://doi.org/10.1145/3707458)**Ruichao Liang, Jing Chen, Cong Wu et al.*35 citations*
21. **[sGuard+: Machine Learning Guided Rule-Based Automated Vulnerability Repair on Smart Contracts ↗](https://doi.org/10.1145/3641846)**Cuifeng Gao, Wenzhang Yang, Jiaming Ye et al.*34 citations*
22. **[A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing Tool and a Benchmark for Evaluating the Accuracy of Diff Tools ↗](https://doi.org/10.1145/3696002)**Pouria Alikhanifard, Nikolaos Tsantalis*33 citations*
23. **[Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder ↗](https://doi.org/10.1145/3695999)**Yongqian Sun, Zihan Lin, Binpeng Shi et al.*33 citations*
24. **[Large Language Model Supply Chain: A Research Agenda ↗](https://doi.org/10.1145/3708531)**Shenao Wang, Yanjie Zhao, Xinyi Hou et al.*33 citations*
25. **[Test Optimization in DNN Testing: A Survey ↗](https://doi.org/10.1145/3643678)**Qiang Hu, Yuejun Guo, Xiaofei Xie et al.*33 citations*

[See all 269 papers in ACM Transactions on Software Engineering and Methodology 2024 — papers →](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2024/papers/)

## Works with our summary in our library (1)

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

1. **[A Survey on Large Language Models for Code Generation](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/) [ACM Transactions on Software Engineering and Methodology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/)**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 367 citations*

## Top topics

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

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

## Fields

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

## Top authors

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

[🧑‍🔬**Fan Wang**1 work here · 367 citations](https://md.research.elamur.ai/free/en/authors/fan-wang/) · [🧑‍🔬**Sungju Kim**1 work here · 367 citations](https://md.research.elamur.ai/free/en/authors/sungju-kim/)

## Top institutions

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

[🎓**Hong Kong University of Science and Technology** Hong Kong · China 1 work here](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏢**NAVER Cloud** Seongnam-si · South Korea 1 work here](https://md.research.elamur.ai/free/en/companies/naver-cloud/) · [🎓**The Hong Kong University of Science and Technology (Guangzhou)** Guangzhou · China 1 work here](https://md.research.elamur.ai/free/en/universities/the-hong-kong-university-of-science-and-technology-guangzhou/)

works and citations from OpenAlex and our library.

- [← previous ACM Transactions on Software Engineering and Methodology 2023](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-software-engineering-and-methodology/2023/)
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