Venue Distribution
This page provides the extended venue-level distribution associated with the survey Fuzzing AI Systems: Foundations, Techniques, and Open Challenges.
The analysis is based on 125 primary studies identified within the January 2015–February 2026 search window.
Overview
The selected studies appear across software engineering, software testing, software reliability, systems, security, programming languages, artificial intelligence, and preprint venues.
The distribution is concentrated in major software engineering and testing venues, showing that fuzzing AI systems is strongly connected to established research communities in software quality, reliability, and automated testing.
Conference and workshop publications support rapid dissemination of new techniques and tools, while journals and transactions provide longer-form empirical studies and extended evaluations.
Detailed Venue Distribution
The complete venue-level distribution is presented below. Each paper identifier (PID) links to the corresponding entry in the Primary Studies catalogue, which provides the full title, authors, publication year, venue, BibTeX key, and DOI or publication link.
Conference, Proceedings, and Preprint Venues — 87 studies
| Venue | # Studies | Primary studies |
|---|---|---|
| ISSTA | 13 | P005, P015, P017, P019, P021, P023, P026, P028, P032, P041, P045, P113, P169 |
| ICSE | 13 | P002, P009, P010, P013, P016, P020, P029, P030, P034, P035, P038, P058, P164 |
| arXiv | 10 | P077, P080, P082, P100, P111, P114, P152, P154, P158, P197 |
| ASE | 10 | P014, P025, P031, P036, P039, P049, P060, P079, P122, P178 |
| QRS / QRS Companion | 7 | P091, P147, P193, P096, P148, P167, P200 |
| FSE | 6 | P006, P008, P033, P042, P044, P050 |
| ISSRE | 3 | P051, P069, P133 |
| OOPSLA | 3 | P046, P090, P099 |
| CSCWD | 2 | P127, P162 |
| APLAS | 1 | P089 |
| APSEC | 1 | P153 |
| ASENS | 1 | P116 |
| ASPLOS | 1 | P001 |
| CCS | 1 | P066 |
| CODASPY | 1 | P043 |
| DAC | 1 | P018 |
| DSA | 1 | P136 |
| DSC | 1 | P104 |
| ICIST | 1 | P170 |
| ICPADS | 1 | P125 |
| ICRSA | 1 | P024 |
| ICSME | 1 | P081 |
| IJCNN | 1 | P202 |
| NaNA | 1 | P146 |
| PACMSE | 1 | P083 |
| SANER | 1 | P182 |
| SMC | 1 | P103 |
| TrustCom | 1 | P145 |
| WWW | 1 | P003 |
| Overall | 87 |
Journal and Transaction Venues — 38 studies
| Venue | # Studies | Primary studies |
|---|---|---|
| TSE | 8 | P061, P068, P078, P088, P095, P143, P144, P156 |
| TOSEM | 8 | P086, P087, P106, P119, P120, P137, P157, P160 |
| IST | 4 | P004, P007, P012, P027 |
| JSS | 4 | P011, P076, P165, P198 |
| TR | 2 | P142, P180 |
| Applied Intelligence | 1 | P201 |
| Computers & Security | 1 | P208 |
| Cybersecurity | 1 | P101 |
| IET Software | 1 | P130 |
| IJIS | 1 | P174 |
| Information Sciences | 1 | P172 |
| JMS | 1 | P121 |
| JNCA | 1 | P022 |
| Neurocomputing | 1 | P040 |
| PLOS ONE | 1 | P140 |
| TNNLS | 1 | P176 |
| TNSE | 1 | P204 |
| Overall | 38 |
Note: QRS and QRS Companion are merged into a single venue group because they belong to the same conference family. arXiv is grouped with conference/proceedings/preprint venues because it represents preprint dissemination. OOPSLA and PACMSE are listed with conference/proceedings venues following the normalized venue grouping used in the dataset. Venue abbreviations follow the normalized names used in the survey dataset.
Interpretation
Three broad patterns emerge from the venue distribution.
Strong Presence in Software Engineering and Testing
ISSTA, ICSE, ASE, FSE, TSE, and TOSEM account for a substantial portion of the selected studies.
This concentration reflects the close relationship between AI-system fuzzing and research on:
- automated software testing;
- software reliability;
- program analysis;
- debugging;
- compiler testing;
- software quality assurance; and
- empirical software engineering.
Contributions from Both Conferences and Journals
The corpus includes major conferences as well as archival journals and transactions.
Conference venues support fast dissemination of emerging techniques, benchmarks, and tools, while journals and transactions provide space for extended methodology, broader evaluation, and more detailed empirical analysis.
Role of Preprints
arXiv appears among the most frequent publication venues.
Preprints contribute to rapid dissemination, particularly in emerging areas such as:
- LLM-based fuzzing;
- AI-agent testing;
- prompt-guided test generation;
- DL compiler testing; and
- rapidly evolving AI software infrastructure.
The 2026 venue distribution should be interpreted as partial because the survey search window ends in February 2026.
Broader Venue Coverage
Beyond the most frequent venues, the corpus also includes publications from research communities concerned with:
- software security;
- programming languages;
- systems;
- artificial intelligence;
- autonomous systems;
- machine learning;
- dependable computing; and
- domain-specific AI applications.
This broader distribution reflects the cross-layer nature of AI-system fuzzing, which spans learned models, frameworks and libraries, compiler backends, runtime infrastructure, and integrated AI-enabled systems.
Main Observation
The venue landscape indicates that fuzzing AI systems is primarily rooted in software engineering, software testing, and reliability research while also drawing contributions from systems, security, programming languages, and AI communities.
The combination of conference, journal, transaction, and preprint venues shows that the area supports both rapid methodological development and longer-form empirical investigation.