2 citations · 2 across the 2 of their papers we have counts for
5 papers
How and Why Agents Can Identify Bug-Introducing Commits
Niklas Risse, Marcel Böhme
Śliwerski, Zimmermann, and Zeller (SZZ) just won the 2026 ACM SIGSOFT Impact Award for asking: When do changes induce fixes? Their paper from 2005 served as the foundation for a wi…
Empirical Computation: Prompting versus Programming
Eric Tang, Jing Liu, Marcel Böhme
Large Language Models (LLM) can solve *any* computational problem *without* an algorithm in a runtime *independent* of the computational complexity of that problem. Instead of spec…
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Niklas Risse, Jing Liu, Marcel Böhme
According to our survey of machine learning for vulnerability detection (ML4VD), 9 in every 10 papers published in the past five years define ML4VD as a function-level binary class…
Fundamental Challenges in Cybersecurity and a Philosophy of Vulnerability-Guided Hardening
Marcel Böhme
Research in cybersecurity may seem reactive, specific, ephemeral, and indeed ineffective. Despite decades of innovation in defense, even the most critical software systems turn out…
MCPA: Program Analysis as Machine Learning
Marcel Böhme
Static program analysis today takes an analytical approach which is quite suitable for a well-scoped system. Data- and control-flow is taken into account. Special cases such as poi…