ASE: Automated Software Engineering Conference — papers and institutions, 2024–2026

Papers of ASE, Automated Software Engineering Conference (CORE rank A*; field: Software engineering), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

ASE (Automated Software Engineering Conference) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,102 of its papers from 2024–2026 (266 in 2024, 395 in 2025, 441 in 2026).
By the countries of the authors' institutions, the most papers come from China (549), the United States (200) and Singapore (105).
The institutions with the most papers are Zhejiang University (64), Nanjing University (58) and Peking University (53).
Its most-cited paper of these years is “On the Evaluation of Large Language Models in Unit Test Generation” (2024), with 89 citations.

Papers per year#

ASE papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	266	264
2025	395	385
2026	441	436

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S4363608212	The conference's proceedings

Who publishes there#

Institutions with the most ASE papers, 2024–2026
#	Institution	Papers
1	Zhejiang University	64
2	Nanjing University	58
3	Peking University	53
4	Chinese Academy of Sciences	50
5	Nanyang Technological University	49
6	Singapore Management University	46
7	Tsinghua University	43
8	Beihang University	42
9	Huawei Technologies (China)	38
10	Huazhong University of Science and Technology	32

Countries with the most ASE papers, 2024–2026
#	Country	Papers
1	China	549
2	United States	200
3	Singapore	105
4	Germany	95
5	Canada	74
6	Hong Kong	70
7	United Kingdom	52
8	Australia	49
9	South Korea	43
10	Italy	31

Keywords with the most ASE papers, 2024–2026
#	Keyword	Papers
1	large language models	319
2	static analysis	67
3	code generation	54
4	software testing	42
5	vulnerability detection	39
6	bug detection	35
7	LLM agents	33
8	retrieval-augmented generation	29
9	test case generation	28
10	multi-agent systems	27

Most-cited papers#

Most-cited ASE papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	89	On the Evaluation of Large Language Models in Unit Test Generation	2024-10-18	Lin Yang, Chen Yang, Shutao Gao et al.
2	74	HITS: High-coverage LLM-based Unit Test Generation via Method Slicing	2024-10-18	Zejun Wang, Kaibo Liu, Ge Li et al.
3	40	Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?	2024-10-18	Luan Pham, Huong Ha, Hongyu Zhang
4	38	Semantic Sleuth: Identifying Ponzi Contracts via Large Language Models	2024-10-18	Cong Wu, Jing Chen, Ziwei Wang et al.
5	35	LeGEND: A Top-Down Approach to Scenario Generation of Autonomous Driving Systems Assisted by Large Language Models	2024-10-18	Shuncheng Tang, Zhenya Zhang, Jixiang Zhou et al.
6	33	Test-Driven Development and LLM-based Code Generation	2024-10-18	Noble Saji Mathews, Meiyappan Nagappan
7	32	iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring	2024-10-18	Di Wu, Fangwen Mu, Lin Shi et al.
8	26	SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing	2024-10-18	An Guo, Yuan Hua Zhou, Haoxiang Tian et al.
9	24	LLM Meets Bounded Model Checking: Neuro-symbolic Loop Invariant Inference	2024-10-18	Guangyuan Wu, Wan-Quan Cao, Yuan Yao et al.
10	21	ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts	2024-10-18	Che Wang, Jiashuo Zhang, Jianbo Gao et al.

Conferences in the same field#

ICSE · ASPLOS · FSE · ISCA · PLDI · POPL · CAV · SIGMETRICS · DATE · OOPSLA · ISSTA · MODELS · MSR · SANER · ICST · EASE · RE · ICSME · TACAS · ICPC · CGO · ESEM · ISSRE · BPM · ICFP · ICSA · IJCAR · SEAMS · ECOOP

Cite this page

Scholar4AI. (2026). ASE: Automated Software Engineering Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ase

@misc{scholar4ai-proceedings-ase,
  author = {{Scholar4AI}},
  title = {ASE: Automated Software Engineering Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/ase}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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