ISSRE: International Symposium on Software Reliability Engineering — papers and institutions, 2024–2026

Papers of ISSRE, International Symposium on Software Reliability Engineering (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#

ISSRE (International Symposium on Software Reliability Engineering) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 127 of its papers from 2024–2026 (66 in 2024, 61 in 2025; 2026 not in OpenAlex yet).
By the countries of the authors' institutions, the most papers come from China (63), the United States (19) and Italy (9).
The institutions with the most papers are Tsinghua University (11), Chinese Academy of Sciences (10) and Nankai University (8).
Its most-cited paper of these years is “LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events” (2024), with 43 citations.
OpenAlex has affiliations for only 78% of its papers, so the institution and country counts are incomplete.

Papers per year#

ISSRE papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	66	53
2025	61	46
2026	–	–

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S4210220341	The conference's proceedings

Who publishes there#

Institutions with the most ISSRE papers, 2024–2026
#	Institution	Papers
1	Tsinghua University	11
2	Chinese Academy of Sciences	10
3	Nankai University	8
4	National University of Defense Technology	7
5	Peking University	7
6	Huawei Technologies (China)	7
7	Computer Network Information Center	6
8	Zhejiang University	5
9	Beihang University	5
10	Sun Yat-sen University	4

Countries with the most ISSRE papers, 2024–2026
#	Country	Papers
1	China	63
2	United States	19
3	Italy	9
4	Germany	6
5	Australia	5
6	Portugal	5
7	Canada	4
8	Hong Kong	3
9	Japan	3
10	Singapore	3

Keywords with the most ISSRE papers, 2024–2026
#	Keyword	Papers
1	large language models	20
2	safety-critical systems	8
3	static analysis	7
4	fault detection	5
5	log anomaly detection	5
6	root cause analysis	5
7	software reliability	5
8	vulnerability detection	5
9	anomaly detection	4
10	code coverage	4

Most-cited papers#

Most-cited ISSRE papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	43	LLMeLog: An Approach for Anomaly Detection based on LLM-enriched Log Events	2024-10-28	Minghua He, Tong Jia, Chiming Duan et al.
2	21	TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models	2024-10-28	Haotian Si, Jianhui Li, Changhua Pei et al.
3	18	Leveraging RAG-Enhanced Large Language Model for Semi-Supervised Log Anomaly Detection	2024-10-28	Wanhao Zhang, Qianli Zhang, Enyu Yu et al.
4	17	Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity	2025-10-21	Domenico Cotroneo, Cristina Improta, Pietro Liguori
5	17	Large Language Models Can Provide Accurate and Interpretable Incident Triage	2024-10-28	Zexin Wang, Jianhui Li, Minghua Ma et al.
6	15	Assessing the Performance of AI-Generated Code: A Case Study on GitHub Copilot	2024-10-28	Shuang Li, Yihang Cheng, Jinfu Chen et al.
7	13	CovSBOM: Enhancing Software Bill of Materials with Integrated Code Coverage Analysis	2024-10-28	Yunze Zhao, Yuchen Zhang, Dan Chacko et al.
8	13	LogCAE: An Approach for Log-based Anomaly Detection with Active Learning and Contrastive Learning	2024-10-28	Pei Xiao, Tong Jia, Chiming Duan et al.
9	13	Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis	2024-10-28	Junjie Huang, Zhihan Jiang, Jinyang Liu et al.
10	12	AI-Supported Eliminative Argumentation: Practical Experience Generating Defeaters to Increase Confidence in Assurance Cases	2024-10-28	Torin Viger, Logan Murphy, Simon Diemert et al.

Conferences in the same field#

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

Cite this page

Scholar4AI. (2026). ISSRE: International Symposium on Software Reliability Engineering — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/issre

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

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