Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

ICPC: IEEE International Conference on Program Comprehension (previously IWPC, changed in 2006) — papers and institutions, 2024–2026

Papers of ICPC, IEEE International Conference on Program Comprehension (previously IWPC, changed in 2006) (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#

  • ICPC (IEEE International Conference on Program Comprehension (previously IWPC, changed in 2006)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 167 of its papers from 2024–2026 (45 in 2024, 69 in 2025, 53 in 2026).
  • By the countries of the authors' institutions, the most papers come from China (55), the United States (24) and Switzerland (23).
  • The institutions with the most papers are Università della Svizzera italiana (16), University of Sannio (7) and Chinese Academy of Sciences (7).
  • Its most-cited paper of these years is “Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies” (2024), with 54 citations.

Papers per year#

ICPC papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20244544
20256959
20265353

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407088527The conference's proceedings

Who publishes there#

Institutions with the most ICPC papers, 2024–2026
#InstitutionPapers
1Università della Svizzera italiana16
2University of Sannio7
3Chinese Academy of Sciences7
4Peking University6
5Central South University5
6Sun Yat-sen University5
7William & Mary5
8Indian Institute of Technology Tirupati5
9University of Chinese Academy of Sciences5
10Polytechnique Montréal5
Countries with the most ICPC papers, 2024–2026
#CountryPapers
1China55
2United States24
3Switzerland23
4Canada20
5Italy20
6Netherlands8
7India7
8Brazil5
9France5
10Germany4
Keywords with the most ICPC papers, 2024–2026
#KeywordPapers
1large language models53
2program comprehension25
3code generation11
4code summarization11
5prompt engineering11
6open source software9
7bug reports8
8code readability8
9static analysis8
10code comments7

Most-cited papers#

Most-cited ICPC papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
154Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies2024-04-15Yilun Liu, Shimin Tao, Weibin Meng et al.
245Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks2024-04-15Domenico Cotroneo, Cristina Improta, Pietro Liguori et al.
338How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study2024-04-15Federica Pepe, Vittoria Nardone, Antonio Mastropaolo et al.
431Investigating the Efficacy of Large Language Models for Code Clone Detection2024-04-15Mohamad Khajezade, Jie JW Wu, Fatemeh H. Fard et al.
529Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants2024-04-15Vincenzo Corso, Leonardo Mariani, Daniela Micucci et al.
621Compositional API Recommendation for Library-Oriented Code Generation2024-04-15Zexiong Ma, Shengnan An, Bing Xie et al.
719Knowledge-Aware Code Generation with Large Language Models2024-04-15Tao Huang, Zhihong Sun, Zhi Gang Jin et al.
819Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot2024-04-15Ionut Daniel Fagadau, Leonardo Mariani, Daniela Micucci et al.
916Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization2024-04-15Jiliang Li, Yifan Zhang, Zachary Karas et al.
1014Reassessing Java Code Readability Models with a Human-Centered Approach2024-04-15Agnia Sergeyuk, Olga Lvova, Sergey Titov 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 · CGO · ESEM · ISSRE · BPM · ICFP · ICSA · IJCAR · SEAMS · ECOOP

Cite this page

Scholar4AI. (2026). ICPC: IEEE International Conference on Program Comprehension (previously IWPC, changed in 2006) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/icpc

@misc{scholar4ai-proceedings-icpc,
  author = {{Scholar4AI}},
  title = {ICPC: IEEE International Conference on Program Comprehension (previously IWPC, changed in 2006) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/icpc}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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