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CORDIS - Resultados de investigaciones de la UE
CORDIS

Using Evolutionary Algorithms to Understand and Secure Web/Enterprise Systems

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data Management Plan (se abrirá en una nueva ventana)

"Information concerning the Data Management Plan is described in Annex 1 under ""Work Package 12"" 1. Making data Findable, 2. Making data openly Accessible, 3. Making data Interoperable, 4. Increase data Re-use, 5. Allocation of recourses and data security The data management plan will also have to specify if certain datasets remain closed and the reasons for not giving access should be given."

Publicaciones

White-box Fuzzing RPC-based APIs with EvoMaster: An Industrial Case Study (se abrirá en una nueva ventana)

Autores: Man Zhang,Andrea Arcuri,Yonggang Li,Yang Liu,Kaiming Xue
Publicado en: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3585009

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools (se abrirá en una nueva ventana)

Autores: Man Zhang, Andrea Arcuri
Publicado en: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3597205

Enhancing Search-based Testing with Testability Transformations for Existing APIs (se abrirá en una nueva ventana)

Autores: Andrea Arcuri, Juan Pablo Galeotti
Publicado en: ACM Transactions on Software Engineering and Methodology, Edición 31(1), 2021, Página(s) 1-34, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3477271

Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs (se abrirá en una nueva ventana)

Autores: Asma Belhadi, Man Zhang, Andrea Arcuri
Publicado en: ACM Transactions on the Web, 2023, ISSN 1559-1131
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3609427

JavaScript SBST Heuristics To Enable Effective Fuzzing of NodeJS Web APIs (se abrirá en una nueva ventana)

Autores: Man Zhang, Asma Belhadi, Andrea Arcuri
Publicado en: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3593801

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster (se abrirá en una nueva ventana)

Autores: Andrea Arcuri; Man Zhang; Asma Belhadi; Bogdan Marculescu; Amid Golmohammadi; Juan Pablo Galeotti; Susruthan Seran
Publicado en: Software Quality Journal, Edición 1, 2023, ISSN 1573-1367
Editor: springer
DOI: 10.1007/s11219-023-09620-w

".NET/C# Instrumentation for Search-Based Software Testing" (se abrirá en una nueva ventana)

Autores: Golmohammadi, A., Zhang, M., Arcuri, A
Publicado en: Software Quality Journal, 2023, ISSN 1573-1367
Editor: springer
DOI: 10.1007/s11219-023-09645-1

Testing RESTful APIs: A Survey (se abrirá en una nueva ventana)

Autores: Amid Golmohammadi, Man Zhang, Andrea Arcuri
Publicado en: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3617175

Causes and Effects of Fitness Landscapes in System Test Generation: A Replication Study (se abrirá en una nueva ventana)

Autores: O. Sahin, M. Zhang, Andrea Arcuri
Publicado en: Arxiv, 2025
Editor: Arxiv
DOI: 10.48550/arxiv.2502.00169

Fuzzing Microservices: A Series of User Studies in Industry on Industrial Systems with EvoMaster (se abrirá en una nueva ventana)

Autores: M. Zhang, Andrea Arcuri, Y. Li, K. Xue, Z Wang, J. Huo, W Huang
Publicado en: 2024
Editor: Arxiv
DOI: 10.48550/arxiv.2208.03988

Widening The Adoption of Web API Fuzzing: Docker, GitHub Action and Python Support for EvoMaster - DEMO TRACK

Autores: Andrea Arcuri, P. Garrett, J.P. Galeotti, M. Zhang.
Publicado en: ACM International Conference on the Foundations of Software Engineering (FSE), 2025
Editor: https://github.com/WebFuzzing/EvoMaster/blob/master/docs/publications.md

EMB: A Curated Corpus of Web/Enterprise Applications And Library Support for Software Testing Research (se abrirá en una nueva ventana)

Autores: Andrea Arcuri; Man Zhang; Amid Golmohammadi; Asma Belhadi; Juan P. Galeotti; Bogdan Marculescu; Susrutha Seran
Publicado en: ICST, 2023
Editor: ieee
DOI: 10.1109/icst57152.2023.00047

Seeding and Mocking in White-Box Fuzzing Enterprise RPC APIs: An Industrial Case Study.

Autores: M. Zhang, Andrea Arcuri, P. Teng, K. Xue, W. Wang.
Publicado en: IEEE/ACM International Conference on Automated Software Engineering (ASE), Industry Track., 2024
Editor: Github

Search-based Security Testing of Enterprise Microservices

Autores: S. Seran
Publicado en: EEE International Conference on Software Testing, Validation and Verification (ICST), Doctoral Symposium., 2024
Editor: Github

Technology Adoption Performance Evaluation Applied to Testing Industrial REST APIs.

Autores: A. Poth, O. Rrjolli, Andrea Arcuri.
Publicado en: Automated Software Engineering (AUSE)., 2024
Editor: Github

Evolutionary-based automated testing for GraphQL APIs (se abrirá en una nueva ventana)

Autores: Asma Belhadi,Man Zhang,Andrea Arcuri
Publicado en: GECCO, 2022
Editor: ACM
DOI: 10.1145/3520304.3528952

Introducing Black-Box Fuzz Testing for REST APIs in Industry: Challenges and Solutions.

Autores: Andrea Arcuri, A. Poth, O. Rrjolli
Publicado en: IEEE International Conference on Software Testing, Validation and Verification (ICST), Industry Track, 2025
Editor: IEEE International Conference on Software Testing, Validation and Verification (ICST)

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs (se abrirá en una nueva ventana)

Autores: Man Zhang; Asma Belhadi; Andrea Arcuri
Publicado en: ICST, 2022
Editor: IEEE
DOI: 10.1109/icst53961.2022.00022

Tool Report: EvoMaster -- Black and White Box Search-Based Fuzzing for REST, GraphQL and RPC APIs.

Autores: Andrea Arcuri, M. Zhang, S. Seran, J.P. Galeotti, A. Golmohammadi, O. Duman, A. Aldasoro, H. Ghianni.
Publicado en: Automated Software Engineering (AUSE), 2024
Editor: Github

Multi-Phase Taint Analysis for JSON Inference in Search-Based Fuzzing

Autores: S. Seran, O. Duman, Andrea Arcuri.
Publicado en: IEEE International Workshop on Search-Based and Fuzz Testing (SBFT), 2025
Editor: Github

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs.

Autores: Andrea Arcuri, M. Zhang, J.P. Galeotti.
Publicado en: ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Editor: ACM Transactions on Software Engineering and Methodology (TOSEM)

Search-Based White-Box Fuzzing of Web Frontend Applications

Autores: I. Kertusha
Publicado en: IEEE International Symposium on Software Reliability Engineering (ISSRE), Doctoral Symposium., 2024
Editor: Github

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