activity
20182026
most citedTowards Automating Precision Studies of Clone Detectors

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code

Myeongsoo Kim, Dingmin Wang, Siwei Cui +6

Code agents resolve 65-70% of SWE-bench Verified issues, but Pass@1 cannot tell us why the rest fail, and, as we show, capable-model failures are systematically misdiagnosed withou…

cs.LG2025

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs

Mirazul Haque, Petr Babkin, Farima Farmahinifarahani +1

Large Language Models (LLMs) show promising performance on various programming tasks, including Automatic Program Repair (APR). However, most approaches to LLM-based APR are limite…

cs.PL2023

Black Boxes, White Noise: Similarity Detection for Neural Functions

Farima Farmahinifarahani, Cristina V. Lopes

Similarity, or clone, detection has important applications in copyright violation, software theft, code search, and the detection of malicious components. There is now a good numbe…

cs.SE2018★ 8 cited

Towards Automating Precision Studies of Clone Detectors

Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu +5

Current research in clone detection suffers from poor ecosystems for evaluating precision of clone detection tools. Corpora of labeled clones are scarce and incomplete, making eval…

cs.SE2018

Oreo: Detection of Clones in the Twilight Zone

Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu +2

Source code clones are categorized into four types of increasing difficulty of detection, ranging from purely textual (Type-1) to purely semantic (Type-4). Most clone detectors rep…