N.C. Shrikanth, Ph.D.


News: Passed my PhD Exam (Dec, 2021)

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Hi, I am Shrikanth a newly minted Ph.D. from North Carolina State University. I worked with Dr.Menzies in his super cool Real-world Artificial Intelligence for Software Engineering lab. Mostly, I enjoy examining software engineering data for a living. Previously, I was a Technology R&D Specialist at Accenture Labs (Software Engineering Group), exploring crowdsourcing and log analytics issues. Before that, as a software engineer, I managed the software development life-cycle of products built for electrical and banking domains at ABB India Ltd and Infosys Ltd, respectively. You can find a copy of my doctoral dissertation titled "Taming Confusions in Software Engineering" under publications (below).



  1. N. C. Shrikanth. Taming Confusions in Software Engineering. (PhD Thesis 2021).
  2. N. C. Shrikanth, Suvodeep Majumder, and Tim Menzies. Early Life Cycle Software Defect Prediction. Why? How? (ICSE '21).
  3. N. C. Shrikanth, William Nichols, Fahmid Morshed Fahid, and Tim Menzies. Assessing Practitioner Beliefs about Software Engineering. (EMSE'21, 📗ICSE'22 Journal-First).
  4. N. C. Shrikanth, and Tim Menzies. 2020. Assessing Practitioner Beliefs about Software Defect Prediction. (ICSE '20 SEIP) 🏆 (Best Paper Nominee).
  5. Anurag Dwarakanath, N. C. Shrikanth, Kumar Abhinav, and Alex Kass. 2016. Trustworthiness in enterprise crowdsourcing: a taxonomy & evidence from data . (ICSE '16 SEIP).
  6. Anurag Dwarakanath, Upendra Chintala, Shrikanth N. C., Gurdeep Virdi, Alex Kass, Anitha Chandran, Shubhashis Sengupta, and Sanjoy Paul. 2015 . CrowdBuild: a methodology for enterprise software development using crowdsourcing .(CSI-SE ICSE '15).
  7. N. C. Shrikanth, and Tim Menzies. Assessing the Early Bird Heuristic (for Predicting Project Quality) (Under Review).
  8. Mehdi Bahrami, N.C. Shrikanth, Shade Ruangwan, Lei Liu, Yuji Mizobuchi, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata, and Tim Menzies. 2021. PyTorrent: A Python Library Corpus for Large-scale Language Models (Under Review).
  9. Mehdi Bahrami, N.C. Shrikanth, Yuji Mizobuchi, Lei Liu, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata. 2021. AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models (Under Review).


Industry Experience (2008 to 2022)

Granted Patents

  1. Incident prediction and prevention
  2. Method and system for visual requirements and component reuse driven rapid application composition
  3. Generating a test script execution order


  1. Sun Certified Java Programmer
  2. Sun Certified Web Component Developer

Teaching Assistant

  1. CSC 440 Database Management Systems - Instructor: Dr. Rada Chirkova
  2. CSC 495 Software Testing - Instructor: Dr. Kathryn T. Stolee
  3. CSC 510 Software Engineering - Instructors: Dr. Jamie Jennings, Dr. Nicholas A. Kraft, and Dr. Emerson Murphy-Hill

ICSE'21 Talk


ICSE JF'22 Talk

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