Using Evolutionary Algorithms to Understand and Secure Web/Enterprise Systems

Informations projet

EAST

N° de convention de subvention: 864972

DOI 10.3030/864972

Date de signature de la CE 9 Mars 2020

Date de début 1 Août 2020

Date de fin 31 Juillet 2025

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total € 2 000 000,00

Contribution de l’UE € 2 000 000,00

Coordonné par

HOYSKOLEN KRISTIANIA - ERNST G. MORTENSENS STIFTELSE
Norway

Livrables

Open Research Data Pilot (1)

Data Management Plan

"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."

Publications

Peer reviewed articles (8)

White-box Fuzzing RPC-based APIs with EvoMaster: An Industrial Case Study

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

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Auteurs: Man Zhang, Andrea Arcuri
Publié dans: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3597205

Enhancing Search-based Testing with Testability Transformations for Existing APIs

Auteurs: Andrea Arcuri, Juan Pablo Galeotti
Publié dans: ACM Transactions on Software Engineering and Methodology, Numéro 31(1), 2021, Page(s) 1-34, ISSN 1049-331X
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3477271

Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs

Auteurs: Asma Belhadi, Man Zhang, Andrea Arcuri
Publié dans: ACM Transactions on the Web, 2023, ISSN 1559-1131
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3609427

JavaScript SBST Heuristics To Enable Effective Fuzzing of NodeJS Web APIs

Auteurs: Man Zhang, Asma Belhadi, Andrea Arcuri
Publié dans: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3593801

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster

Auteurs: Andrea Arcuri; Man Zhang; Asma Belhadi; Bogdan Marculescu; Amid Golmohammadi; Juan Pablo Galeotti; Susruthan Seran
Publié dans: Software Quality Journal, Numéro 1, 2023, ISSN 1573-1367
Éditeur: springer
DOI: 10.1007/s11219-023-09620-w

".NET/C# Instrumentation for Search-Based Software Testing"

Auteurs: Golmohammadi, A., Zhang, M., Arcuri, A
Publié dans: Software Quality Journal, 2023, ISSN 1573-1367
Éditeur: springer
DOI: 10.1007/s11219-023-09645-1

Testing RESTful APIs: A Survey

Auteurs: Amid Golmohammadi, Man Zhang, Andrea Arcuri
Publié dans: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Éditeur: Association for Computing Machinary, Inc.
DOI: 10.1145/3617175

Conference proceedings (3)

EMB: A Curated Corpus of Web/Enterprise Applications And Library Support for Software Testing Research

Auteurs: Andrea Arcuri; Man Zhang; Amid Golmohammadi; Asma Belhadi; Juan P. Galeotti; Bogdan Marculescu; Susrutha Seran
Publié dans: ICST, 2023
Éditeur: ieee
DOI: 10.1109/icst57152.2023.00047

Evolutionary-based automated testing for GraphQL APIs

Auteurs: Asma Belhadi,Man Zhang,Andrea Arcuri
Publié dans: GECCO, 2022
Éditeur: ACM
DOI: 10.1145/3520304.3528952

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

Auteurs: Man Zhang; Asma Belhadi; Andrea Arcuri
Publié dans: ICST, 2022
Éditeur: IEEE
DOI: 10.1109/icst53961.2022.00022