Amritanshu Agrawal

Orcid: 0000-0002-1220-8533

According to our database1, Amritanshu Agrawal authored at least 19 papers between 2016 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Finding Trends in Software Research.
IEEE Trans. Software Eng., April, 2023

2022
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When?
IEEE Trans. Software Eng., 2022

2021
How to "DODGE" Complex Software Analytics.
IEEE Trans. Software Eng., 2021

2020
Better software analytics via "DUO": Data mining algorithms using/used-by optimizers.
Empir. Softw. Eng., 2020

2019
Is AI different for SE?
CoRR, 2019

Why Software Projects need Heroes (Lessons Learned from 1100+ Projects).
CoRR, 2019

2018
What is wrong with topic modeling? And how to fix it using search-based software engineering.
Inf. Softw. Technol., 2018

Can You Explain That, Better? Comprehensible Text Analytics for SE Applications.
CoRR, 2018

Building Better Quality Predictors Using "ε-Dominance".
CoRR, 2018

Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects.
Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics, 2018

Data-driven search-based software engineering.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018

What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects.
Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

We don't need another hero?: the impact of "heroes" on software development.
Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

Is "better data" better than "better data miners"?: on the benefits of tuning SMOTE for defect prediction.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
Continuous Integration: The Silver Bullet?
CoRR, 2017

"Better Data" is Better than "Better Data Miners" (Benefits of Tuning SMOTE for Defect Prediction).
CoRR, 2017

Trends in topics at SE conferences (1993-2013).
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
What is Wrong with Topic Modeling? (and How to Fix it Using Search-based SE).
CoRR, 2016

The "BigSE" project: lessons learned from validating industrial text mining.
Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016


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