3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.SE2024★ 3 cited
Automated Detection of Algorithm Debt in Deep Learning Frameworks: An Empirical Study
Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Alex Potanin +2
Context: Previous studies demonstrate that Machine or Deep Learning (ML/DL) models can detect Technical Debt from source code comments called Self-Admitted Technical Debt (SATD). D…
cs.CR2022
Information Flow Control-by-Construction for an Object-Oriented Language Using Type Modifiers
Tobias Runge, Alexander Kittelmann, Marco Servetto +2
In security-critical software applications, confidential information must be prevented from leaking to unauthorized sinks. Static analysis techniques are widespread to enforce a se…