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[HTML][HTML] Vulnerability detection through machine learning-based fuzzing: A systematic review
Modern software and networks underpin our digital society, yet the rapid growth of
vulnerabilities that are uncovered within these threaten our cyber security posture …
vulnerabilities that are uncovered within these threaten our cyber security posture …
RiverGame-a game testing tool using artificial intelligence
As is the case with any very complex and interactive software, many video games are
released with various minor or major issues that can potentially affect the user experience …
released with various minor or major issues that can potentially affect the user experience …
The integration of machine learning into automated test generation: A systematic map** study
Abstract Machine learning (ML) may enable effective automated test generation. We
characterize emerging research, examining testing practices, researcher goals, ML …
characterize emerging research, examining testing practices, researcher goals, ML …
Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster
Research in software testing often involves the development of software prototypes. Like any
piece of software, there are challenges in the development, use and verification of such …
piece of software, there are challenges in the development, use and verification of such …
Automated game testing using computer vision methods
Video game development is a growing industry nowadays with high revenues. However,
even if there are many resources invested in the software development process, many …
even if there are many resources invested in the software development process, many …
DocFuzz: A Directed Fuzzing Method Based on a Feedback Mechanism Mutator
L **e, Y Zhao, H Yang, Z Zhao, Z Hu… - … Journal of Intelligent …, 2024 - Wiley Online Library
In response to the limitations of traditional fuzzing approaches that rely on static mutators
and fail to dynamically adjust their test case mutations for deeper testing, resulting in the …
and fail to dynamically adjust their test case mutations for deeper testing, resulting in the …
End-to-end RPA-like testing using reinforcement learning
C Păduraru, R Cristea… - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
Even though test automation has an increased presence in industry nowadays, there is still
room for improvement, especially in the area of end-to-end testing. Most testing methods in …
room for improvement, especially in the area of end-to-end testing. Most testing methods in …
[PDF][PDF] Automatic Fuzz Testing and Tuning Tools for Software Blueprints.
The increasingly popular no-or low-code paradigm is based on functional blocks connected
on a graphical interface that is accessible to many stakeholders in an application. Areas …
on a graphical interface that is accessible to many stakeholders in an application. Areas …
GRAFT: Graph-Assisted Reinforcement Learning for Automated SSD Firmware Testing
Well-designed test cases (TCs) are crucial for en-suring the quality of Solid-State Drive
(SSD) products. Indeed, validating SSD firmware code by the TCs is indispensable to check …
(SSD) products. Indeed, validating SSD firmware code by the TCs is indispensable to check …
Artificial Intelligence in Software Testing for Emerging Fields: A Review of Technical Applications and Developments
Y Ding - Applied and Computational Engineering, 2024 - ewadirect.com
The rapid evolution of the Internet industry has transformed software development in
emerging fields, making it markedly different from traditional approaches. Consequently …
emerging fields, making it markedly different from traditional approaches. Consequently …