RIVER 2.0: an open-source testing framework using AI techniques
Bogdan Ghimis, Miruna Gabriela Paduraru, Alin Ştefănescu · 2020
This paper presents the latest updates to the RIVER open-source testing platform for x86 programs, focusing on how artificial intelligence (AI) techniques can be used to improve the automated testing processes. It is also important to mention that RIVER is the first open-source platform that offers a concolic execution engine with reinforcement learning capabilities. On the industry side, this can allow security software engineers to test their applications with fewer costs, while for the research community, it can help prototyping new ideas faster. As a secondary contribution, our work makes a summary of the AI techniques that were used for testing processes either in our previous work or other existing work in the field. The presentation describes technical aspects, challenges, and future work.