SEAMS: International Symposium on Software Engineering for Adaptive and Self-Managing Systems — papers and institutions, 2024–2026

Papers of SEAMS, International Symposium on Software Engineering for Adaptive and Self-Managing Systems (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#

SEAMS (International Symposium on Software Engineering for Adaptive and Self-Managing Systems) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 86 of its papers from 2024–2026 (26 in 2024, 28 in 2025, 32 in 2026).
By the countries of the authors' institutions, the most papers come from Germany (20), the United Kingdom (17) and Italy (17).
The institutions with the most papers are University of York (8), Karlsruhe Institute of Technology (7) and Gran Sasso Science Institute (7).
Its most-cited paper of these years is “Self-adaptive, Requirements-driven Autoscaling of Microservices” (2024), with 24 citations.
OpenAlex has affiliations for only 90% of its papers, so the institution and country counts are incomplete.

Papers per year#

SEAMS papers per publication year in OpenAlex (–: not in OpenAlex yet)
Year	Papers	With affiliations
2024	26	26
2025	28	19
2026	32	32

Sources#

Where OpenAlex lists the papers
OpenAlex source	Which papers
S7407089182	The conference's proceedings

Who publishes there#

Institutions with the most SEAMS papers, 2024–2026
#	Institution	Papers
1	University of York	8
2	Karlsruhe Institute of Technology	7
3	Gran Sasso Science Institute	7
4	Politecnico di Milano	7
5	Carnegie Mellon University	5
6	Universidad de Málaga	5
7	International Institute of Information Technology, Hyderabad	4
8	KU Leuven	4
9	Southwest University	3
10	Universidade de Brasília	3

Countries with the most SEAMS papers, 2024–2026
#	Country	Papers
1	Germany	20
2	United Kingdom	17
3	Italy	17
4	United States	9
5	Belgium	5
6	Brazil	5
7	Spain	5
8	France	5
9	Sweden	5
10	Ireland	4

Keywords with the most SEAMS papers, 2024–2026
#	Keyword	Papers
1	self-adaptive systems	29
2	large language models	6
3	autonomous systems	4
4	autonomous vehicles	4
5	cyber-physical systems	4
6	multi-robot systems	4
7	probabilistic model checking	4
8	quality of service	4
9	uncertainty	4
10	MAPE-K loop	3

Most-cited papers#

Most-cited SEAMS papers of 2024–2026 (citations counted by OpenAlex)
#	Citations	Title	Published	Authors
1	24	Self-adaptive, Requirements-driven Autoscaling of Microservices	2024-04-15	João Paulo Karol Santos Nunes, Shiva Nejati, Mehrdad Sabetzadeh et al.
2	17	Exploring the Potential of Large Language Models in Self-adaptive Systems	2024-04-15	Jialong Li, Mingyue Zhang, Nianyu Li et al.
3	16	Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning	2024-04-15	Rustem Dautov, Erik Johannes Husom
4	15	SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled Systems	2024-04-15	Arya Marda, Shubham Kulkarni, Karthik Vaidhyanathan
5	14	GreenhouseDT: An Exemplar for Digital Twins	2024-04-15	Eduard Kamburjan, Riccardo Sieve, Chinmayi Prabhu Baramashetru et al.
6	9	Integrating Graceful Degradation and Recovery through Requirement-driven Adaptation	2024-04-15	S. Y. Chu, Justin Koe, David Garlan et al.
7	9	Explanation-driven Self-adaptation using Model-agnostic Interpretable Machine Learning	2024-04-15	Francesco Renato Negri, Niccolò Nicolosi, Matteo Camilli et al.
8	9	SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles	2024-04-15	Kenneth H. Chan, Sol Zilberman, Nick Polanco et al.
9	8	Adaptive Human-Robot Collaborative Missions using Hybrid Task Planning	2025-04-28	Gricel Vázquez, Alexandros Evangelidis, Sepeedeh Shahbeigi et al.
10	8	Aloft: Self-Adaptive Drone Controller Testbed	2024-04-15	Calum Imrie, Rhys Howard, Divya Thuremella 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 · ISSRE · BPM · ICFP · ICSA · IJCAR · ECOOP

Cite this page

Scholar4AI. (2026). SEAMS: International Symposium on Software Engineering for Adaptive and Self-Managing Systems — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/seams

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

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