World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11160
World Ranking
6742
National Ranking
267

Overview

Chanchal K. Roy is affiliated with the University of Saskatchewan in Canada and works primarily in the field of Computer Science. Their research spans several subfields, including Information Systems, Artificial Intelligence, Software, Computer Networks and Communications, and Signal Processing.

The main topics addressed in their research include:

  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Topic Modeling

Chanchal K. Roy has authored numerous papers published in a variety of venues. Frequent publication outlets for their work include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Systems and Software
  • Empirical Software Engineering
  • SSRN Electronic Journal

Selected recent papers include:

  • "A systematic literature review on source code similarity measurement and clone detection: Techniques, applications, and challenges," 2023, Journal of Systems and Software
  • "Mining API usage scenarios from stack overflow," 2020, Information and Software Technology
  • "LVMapper: A Large-Variance Clone Detector Using Sequencing Alignment Approach," 2020, IEEE Access
  • "CROKAGE: effective solution recommendation for programming tasks by leveraging crowd knowledge," 2020, Empirical Software Engineering
  • "Leveraging structural properties of source code graphs for just-in-time bug prediction," 2022, Automated Software Engineering

Throughout their career, Chanchal K. Roy has collaborated frequently with other researchers. Notable coauthors include:

  • Kevin A. Schneider
  • Banani Roy
  • Foutse Khomh
  • Md Nadim
  • Mohammad Masudur Rahman

Best Publications

  • Comparison and evaluation of code clone detection techniques and tools: A qualitative approach

    Chanchal K. Roy;James R. Cordy;Rainer Koschke

  • A Survey on Software Clone Detection Research

    Chanchal Kumar Roy;James R. Cordy

  • NICAD: Accurate Detection of Near-Miss Intentional Clones Using Flexible Pretty-Printing and Code Normalization

    C.K. Roy;J.R. Cordy

  • SourcererCC: scaling code clone detection to big-code

    Hitesh Sajnani;Vaibhav Saini;Jeffrey Svajlenko;Chanchal K. Roy

  • Towards a Big Data Curated Benchmark of Inter-project Code Clones

    Jeffrey Svajlenko;Judith F. Islam;Iman Keivanloo;Chanchal K. Roy

  • The NiCad Clone Detector

    James R. Cordy;Chanchal K. Roy

  • Answering questions about unanswered questions of Stack Overflow

    Muhammad Asaduzzaman;Ahmed Shah Mashiyat;Chanchal K. Roy;Kevin A. Schneider

  • A Mutation/Injection-Based Automatic Framework for Evaluating Code Clone Detection Tools

    Chanchal K. Roy;James R. Cordy

  • The vision of software clone management: Past, present, and future (Keynote paper)

    Chanchal K. Roy;Minhaz F. Zibran;Rainer Koschke

  • An Empirical Study of Function Clones in Open Source Software

    C.K. Roy;J.R. Cordy

  • Evaluating clone detection tools with BigCloneBench

    Jeffrey Svajlenko;Chanchal K. Roy

  • RACK: Automatic API Recommendation Using Crowdsourced Knowledge

    Mohammad Masudur Rahman;Chanchal K. Roy;David Lo

  • Evaluating Modern Clone Detection Tools

    Jeffrey Svajlenko;Chanchal K. Roy

  • Mining duplicate questions in stack overflow

    Muhammad Ahasanuzzaman;Muhammad Asaduzzaman;Chanchal K. Roy;Kevin A. Schneider

  • Detection and analysis of near-miss software clones

    Chanchal K. Roy

  • CCAligner: a token based large-gap clone detector

    Pengcheng Wang;Jeffrey Svajlenko;Yanzhao Wu;Yun Xu

  • Near-miss function clones in open source software: an empirical study

    C. K. Roy;J. R. Cordy

  • On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems

    Md. Sharif Uddin;Chanchal K. Roy;Kevin A. Schneider;Abram Hindle

  • An insight into the pull requests of GitHub

    Mohammad Masudur Rahman;Chanchal K. Roy

  • Scenario-Based Comparison of Clone Detection Techniques

    C.K. Roy;J.R. Cordy

  • The Vision of Software Clone Management: Past, Present, and Future.

    Chanchal K. Roy;Minhaz F. Zibran;Rainer Koschke

Frequent Co-Authors

Kevin A. Schneider
Kevin A. Schneider University of Saskatchewan
James R. Cordy
James R. Cordy Queen's University
Foutse Khomh
Foutse Khomh Polytechnique Montréal
David Lo
David Lo Singapore Management University
Rainer Koschke
Rainer Koschke University of Bremen
Jens Krinke
Jens Krinke University College London
Tasuku Nakajima
Tasuku Nakajima Hokkaido University
Takayuki Kurokawa
Takayuki Kurokawa Hokkaido University
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Jian Ping Gong
Jian Ping Gong Hokkaido University

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