Amritanshu Agrawal

25 papers A* 1A 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Finding Trends in Software Research.
IEEE Trans. Software Eng.
George Mathew, Amritanshu Agrawal, Tim Menzies
2022 J jnl
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
IEEE Trans. Software Eng.
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal, Rahul Yedida, Xipeng Shen, Tim Menzies
2021 J jnl
How to "DODGE" Complex Software Analytics.
IEEE Trans. Software Eng.
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
2020 J jnl
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng.
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2019 J jnl
How to "DODGE" Complex Software Analytics?
CoRR
Amritanshu Agrawal, Wei Fu, Di Chen, Xipeng Shen, Tim Menzies
2019 J jnl
Is AI different for SE?
CoRR
Amritanshu Agrawal, Tim Menzies
2019 J jnl
Why Software Projects need Heroes (Lessons Learned from 1100+ Projects).
CoRR
Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal, Tim Menzies
2018 J jnl
Better Software Analytics via "DUO": Data Mining Algorithms Using/Used-by Optimizers.
CoRR
Amritanshu Agrawal, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 J jnl
Building Better Quality Predictors Using "ε-Dominance".
CoRR
Wei Fu, Tim Menzies, Di Chen, Amritanshu Agrawal
2018 J jnl
Can You Explain That, Better? Comprehensible Text Analytics for SE Applications.
CoRR
Amritanshu Agrawal, Huy Tu, Tim Menzies
2018 — conf
Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects.
SWAN@ESEC/SIGSOFT FSE
Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran
2018 J jnl
Data-Driven Search-based Software Engineering.
CoRR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 A conf
Data-driven search-based software engineering.
MSR
Vivek Nair, Amritanshu Agrawal, Jianfeng Chen, Wei Fu, George Mathew, Tim Menzies, Leandro L. Minku, Markus Wagner, Zhe Yu
2018 A* conf
Is "better data" better than "better data miners"?: on the benefits of tuning SMOTE for defect prediction.
ICSE
Amritanshu Agrawal, Tim Menzies
2018 — conf
We don't need another hero?: the impact of "heroes" on software development.
ICSE (SEIP)
Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
2018 — conf
What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects.
ICSE (SEIP)
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
2018 J jnl
What is wrong with topic modeling? And how to fix it using search-based software engineering.
Inf. Softw. Technol.
Amritanshu Agrawal, Wei Fu, Tim Menzies
2017 J jnl
"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction).
CoRR
Amritanshu Agrawal, Tim Menzies
2017 J jnl
Continuous Integration: The Silver Bullet?
CoRR
Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies
2017 — conf
Trends in topics at SE conferences (1993-2013).
ICSE (Companion Volume)
George Mathew, Amritanshu Agrawal, Tim Menzies
2017 J jnl
We Don't Need Another Hero? The Impact of "Heroes" on Software Development.
CoRR
Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
2017 J jnl
What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects).
CoRR
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
2016 — conf
The "BigSE" project: lessons learned from validating industrial text mining.
BIGDSE@ICSE
Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf
2016 J jnl
Trends in Topics at SE Conferences (1993-2013).
CoRR
George Mathew, Amritanshu Agrawal, Tim Menzies
2016 J jnl
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE).
CoRR
Amritanshu Agrawal, Wei Fu, Tim Menzies