activity
20152020
most citedSourcererCC: Scaling Code Clone Detection to Big Code

443 citations · 618 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2020

Triage of Potential COVID-19 Patients from Chest X-ray Images using Hierarchical Convolutional Networks

Kapal Dev, Sunder Ali Khowaja, Ankur Singh Bist +2

The current COVID-19 pandemic has motivated the researchers to use artificial intelligence techniques for a potential alternative to reverse transcription-polymerase chain reaction…

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★ 146 cited

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…

cs.SE2017

Stack Overflow in Github: Any Snippets There?

Di Yang, Pedro Martins, Vaibhav Saini +1

When programmers look for how to achieve certain programming tasks, Stack Overflow is a popular destination in search engine results. Over the years, Stack Overflow has accumulated…

cs.SE2016★ 21 cited

SourcererCC and SourcererCC-I: Tools to Detect Clones in Batch mode and During Software Development

Vaibhav Saini, Hitesh Sajnani, Jaewoo Kim +1

Given the availability of large source-code repositories, there has been a large number of applications for large-scale clone detection. Unfortunately, despite a decade of active r…

cs.SE2015★ 443 cited

SourcererCC: Scaling Code Clone Detection to Big Code

Hitesh Sajnani, Vaibhav Saini, Jeffrey Svajlenko +2

Despite a decade of active research, there is a marked lack in clone detectors that scale to very large repositories of source code, in particular for detecting near-miss clones wh…