In this talk, I will present the challenging issues of current statistical bug prediction and static bug detection research and my techniques on advancing these two bug hunting activities by utilizing ...

With a process defined, we could design the model. To classify bugs accurately, we used a two-step machine learning model operation. First the model learned how to classify security and non-security ...

StateMachineBugFinder (or SMBugFinder for short) is a cross-platform, automated bug detection framework whose functionality and usage are described in an ISSTA'24 tool paper that we recommend to cite ...

It also speeds up the process of software management as a result software maintenance cost is also reduced. However, existing systems are not quite accurate yet, in spite of these systems used various ...

Leveraging Automated Machine Learning Techniques Padamati's prowess in automated machine learning techniques is critical to his advanced vulnerability management framework.

Automated machine learning robot unlocks new potential for genetics research. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 04 / 240426110057.htm ...