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Amritanshu Agrawal
Amritanshu Agrawal
PhD North Carolina State University
Verified email at stackline.com
Title
Cited by
Cited by
Year
What is wrong with topic modeling? And how to fix it using search-based software engineering
A Agrawal, W Fu, T Menzies
Information and Software Technology 98, 74-88, 2018
2872018
Is" better data" better than" better data miners"? on the benefits of tuning SMOTE for defect prediction
A Agrawal, T Menzies
Proceedings of the 40th International Conference on Software engineering …, 2018
2302018
We don't need another hero? the impact of" heroes" on software development
A Agrawal, A Rahman, R Krishna, A Sobran, T Menzies
Proceedings of the 40th international conference on software engineering …, 2018
682018
How to “dodge” complex software analytics
A Agrawal, W Fu, D Chen, X Shen, T Menzies
IEEE Transactions on Software Engineering 47 (10), 2182-2194, 2019
622019
Finding trends in software research
G Mathew, A Agrawal, T Menzies
IEEE Transactions on Software Engineering, 2018
412018
What is the connection between issues, bugs, and enhancements? Lessons learned from 800+ software projects
R Krishna, A Agrawal, A Rahman, A Sobran, T Menzies
Proceedings of the 40th international conference on software engineering …, 2018
392018
Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects
A Rahman, A Agrawal, R Krishna, A Sobran
Proceedings of the 4th ACM SIGSOFT International Workshop on Software …, 2018
342018
Better software analytics via “DUO”: Data mining algorithms using/used-by optimizers
A Agrawal, T Menzies, LL Minku, M Wagner, Z Yu
Empirical Software Engineering 25, 2099-2136, 2020
292020
Data-driven search-based software engineering
V Nair, A Agrawal, J Chen, W Fu, G Mathew, T Menzies, L Minku, ...
Proceedings of the 15th International Conference on Mining Software …, 2018
292018
Simpler hyperparameter optimization for software analytics: Why, how, when?
A Agrawal, X Yang, R Agrawal, R Yedida, X Shen, T Menzies
IEEE Transactions on Software Engineering 48 (8), 2939-2954, 2021
242021
Trends in topics at SE conferences (1993-2013)
G Mathew, A Agrawal, T Menzies
2017 IEEE/ACM 39th International Conference on Software Engineering …, 2017
222017
The" BigSE" project: lessons learned from validating industrial text mining
R Krishna, Z Yu, A Agrawal, M Dominguez, D Wolf
Proceedings of the 2nd International Workshop on BIG Data Software …, 2016
152016
Why software projects need heroes (lessons learned from 1100+ projects)
S Majumder, J Chakraborty, A Agrawal, T Menzies
arXiv preprint arXiv:1904.09954, 2019
142019
Building better quality predictors using” ϵ− dominance”
W Fu, T Menzies, D Chen, A Agrawal
arXiv preprint arXiv:1803.04608, 2018
52018
Is AI different for SE?
A Agrawal, T Menzies
NC State Univ., Aug 26, 2019
42019
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications
A Agrawal, H Tu, T Menzies
arXiv preprint arXiv:1804.10657, 2018
22018
On the nature of software engineering data (implications of ε-dominance in software engineering)
A Agrawal
North Carolina State University, 2019
12019
Pipelining acoustic model training for speech recognition using storm
D Sitaram, H Srinivasaraghavan, K Agarwal, A Agrawal, N Joshi, D Ray
2013 Fifth International Conference on Computational Intelligence, Modelling …, 2013
12013
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