66 citations · 69 across the 7 of their papers we have counts for
3 papers · 1 filter
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
Static call graph (CG) construction often over-approximates call relations, leading to sound, but imprecise results. Recent research has explored machine learning (ML)-based CG pru…
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
Reusing software libraries is a pillar of modern software engineering. In 2022, the average Java application depends on 40 third-party libraries. Relying on such libraries exposes…
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference
Amir M. Mir, Evaldas Latoskinas, Georgios Gousios
In this paper, we present ManyTypes4Py, a large Python dataset for machine learning (ML)-based type inference. The dataset contains a total of 5,382 Python projects with more than…