Gopi Krishnan Rajbahadur

Orcid: 0000-0003-1812-5365

According to our database1, Gopi Krishnan Rajbahadur authored at least 24 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Data Quality Antipatterns for Software Analytics.
CoRR, 2024

SimClone: Detecting Tabular Data Clones using Value Similarity.
CoRR, 2024

Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality.
CoRR, 2024

Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
CoRR, 2024

Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting.
IEEE Access, 2024

Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

A Tutorial on Software Engineering for FMware.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Technical Brief on Software Engineering for FMware.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023
Is My Transaction Done Yet? An Empirical Study of Transaction Processing Times in the Ethereum Blockchain Platform.
ACM Trans. Softw. Eng. Methodol., May, 2023

What makes Ethereum blockchain transactions be processed fast or slow? An empirical study.
Empir. Softw. Eng., March, 2023

Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning.
Proceedings of the IEEE International Conference on Software Analysis, 2023

2022
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers.
IEEE Trans. Software Eng., 2022

Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction.
IEEE Trans. Software Eng., 2022

Towards a Consistent Interpretation of AIOps Models.
ACM Trans. Softw. Eng. Methodol., 2022

Revisiting reopened bugs in open source software systems.
Empir. Softw. Eng., 2022

The impact of feature importance methods on the interpretation of defect classifiers.
CoRR, 2022

Towards Training Reproducible Deep Learning Models.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering.
IEEE Trans. Software Eng., 2021

Can I use this publicly available dataset to build commercial AI software? Most likely not.
CoRR, 2021

2020
Understanding the Impact of Experimental Design Choices on Machine Learning Classifiers in Software Analytics
PhD thesis, 2020

An empirical study of the characteristics of popular Minecraft mods.
Empir. Softw. Eng., 2020

2019
Pitfalls Analyzer: Quality Control for Model-Driven Data Science Pipelines.
Proceedings of the 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2019

2018
A Survey of Anomaly Detection for Connected Vehicle Cybersecurity and Safety.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
The impact of using regression models to build defect classifiers.
Proceedings of the 14th International Conference on Mining Software Repositories, 2017


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