N. C. Shrikanth

Orcid: 0000-0002-8983-7733

According to our database1, N. C. Shrikanth authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Assessing the Early Bird Heuristic (for Predicting Project Quality).
ACM Trans. Softw. Eng. Methodol., September, 2023

2021
Assessing practitioner beliefs about software engineering.
Empir. Softw. Eng., 2021

AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models.
CoRR, 2021

PyTorrent: A Python Library Corpus for Large-scale Language Models.
CoRR, 2021

The Early Bird Catches the Worm: Better Early Life Cycle Defect Predictors.
CoRR, 2021

Early Life Cycle Software Defect Prediction. Why? How?
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
What disconnects practitioner belief and empirical evidence?
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Assessing practitioner beliefs about software defect prediction.
Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

2019
Assessing Practitioner Beliefs.
CoRR, 2019

Assessing Developer Beliefs: A Reply to "Perceptions, Expectations, and Challenges in Defect Prediction".
CoRR, 2019

2016
Trustworthiness in enterprise crowdsourcing: a taxonomy & evidence from data.
Proceedings of the 38th International Conference on Software Engineering, 2016

2015
Crowd Build: A Methodology for Enterprise Software Development Using Crowdsourcing.
Proceedings of the 2nd IEEE/ACM International Workshop on CrowdSourcing in Software Engineering, 2015

Simulation of Consensus Based Approaches to Mitigate the Challenges in Crowdsourcing.
Proceedings of the Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), 2015


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