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N.C. Shrikanth
N.C. Shrikanth
Oracle America, Inc., North Carolina State University, Microsoft, Accenture
Verified email at ncsu.edu - Homepage
Title
Cited by
Cited by
Year
CrowdBuild: a methodology for enterprise software development using crowdsourcing
A Dwarakanath, U Chintala, NC Shrikanth, G Virdi, A Kass, A Chandran, ...
Proceedings of the Second International Workshop on CrowdSourcing in …, 2015
382015
Trustworthiness in enterprise crowdsourcing: a taxonomy & evidence from data
A Dwarakanath, NC Shrikanth, K Abhinav, A Kass
Proceedings of the 38th International Conference on Software Engineering …, 2016
332016
Early life cycle software defect prediction. why? how?
NC Shrikanth, S Majumder, T Menzies
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
282021
Assessing practitioner beliefs about software defect prediction
NC Shrikanth, T Menzies
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
252020
Assessing Practitioner Beliefs about Software Engineering
NC Shrikanth, N William, MF Fahmid, M Tim
122020
Method and system for visual requirements and component reuse driven rapid application composition
V Sharma, V Kaulgud, S Sengupta, P Debnath, MR Savagaonkar, ...
US Patent 10,606,450, 2020
112020
Pytorrent: A python library corpus for large-scale language models
M Bahrami, NC Shrikanth, S Ruangwan, L Liu, Y Mizobuchi, M Fukuyori, ...
arXiv preprint arXiv:2110.01710, 2021
82021
Generating a test script execution order
A Dwarakanath, N Dubash, S Podder, KP Durg, NC Shrikanth
US Patent 10,592,398, 2020
62020
Automated inference of evidence from log information
PD SOUNDRAPANDIAN, SN CHANDRASEKARAN, A Bhola, ...
US Patent 10,949,765, 2021
52021
The early bird catches the worm: Better early life cycle defect predictors
NC Shrikanth, T Menzies
arXiv preprint arXiv:2105.11082, 2021
42021
Assessing the Early Bird Heuristic (for Predicting Project Quality)
NC Shrikanth, T Menzies
arXiv preprint arXiv:2105.11082, 2021
22021
Assessing practitioner beliefs
N Shrikanth, T Menzies
arXiv preprint arXiv:1912.10093, 2019
22019
Simulation of Consensus Based Approaches to Mitigate the Challenges in Crowdsourcing.
K Abhinav, NC Shrikanth, A Dwarakanath
QuASoQ/WAWSE/CMCE@ APSEC, 49-51, 2015
22015
Assessing developer beliefs: A reply to” perceptions, expectations, and challenges in defect prediction”,” 2019,[retrieved: 09, 2020]
NC Shrikanth, T Menzies
arXiv preprint arXiv:1904.05794, 0
2
Simplifying Software Defect Prediction (via the" early bird" Heuristic)
NC Shrikanth, T Menzies
arXiv e-prints, arXiv: 2105.11082, 2021
12021
What disconnects practitioner belief and empirical evidence?
NC Shrikanth, T Menzies
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
12020
Incident prediction and prevention
SN CHANDRASEKARAN, V Subramanian, A Maitra, A Dwarakanath, ...
US Patent 10,643,102, 2020
12020
Assessing the Early Bird Heuristic (for Predicting Project Quality)
T Menzies
ACM Transactions on Software Engineering and Methodology 32 (5), 1-39, 2023
2023
Taming Confusions in Software Engineering
SN Chandrasekaran
North Carolina State University, 2022
2022
AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models
M Bahrami, NC Shrikanth, Y Mizobuchi, L Liu, M Fukuyori, WP Chen, ...
arXiv preprint arXiv:2110.08512, 2021
2021
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