Gopi Krishnan Rajbahadur

According to our database, Gopi Krishnan Rajbahadur authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei Lin, Wali Mohammad Abdullah, Zhen Ming Jiang

CoRR, 2024

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

Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang

CoRR, 2024

2023

Is My Transaction Done Yet? An Empirical Study of Transaction Processing Times in the Ethereum Blockchain Platform.

Michael Pacheco, Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Ahmed E. Hassan

ACM Trans. Softw. Eng. Methodol., May, 2023

What makes Ethereum blockchain transactions be processed fast or slow? An empirical study.

Michael Pacheco, Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Ahmed E. Hassan

Empir. Softw. Eng., March, 2023

Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning.

Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the IEEE International Conference on Software Analysis, 2023

2022

The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers.

Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo Ansaldi Oliva, Yasutaka Kamei, Ahmed E. Hassan

IEEE Trans. Software Eng., 2022

Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction.

Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang

IEEE Trans. Software Eng., 2022

Towards a Consistent Interpretation of AIOps Models.

Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming (Jack) Jiang

ACM Trans. Softw. Eng. Methodol., 2022

Revisiting reopened bugs in open source software systems.

Ankur Tagra, Haoxiang Zhang, Gopi Krishnan Rajbahadur, Ahmed E. Hassan

Empir. Softw. Eng., 2022

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

Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan

CoRR, 2022

Towards Training Reproducible Deep Learning Models.

Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang

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.

Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan

IEEE Trans. Software Eng., 2021

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

Gopi Krishnan Rajbahadur, Erika Tuck, Li Zi, Zhang Wei, Dayi Lin, Boyuan Chen, Zhen Ming Jiang, Daniel Morales German

CoRR, 2021

2020

Understanding the Impact of Experimental Design Choices on Machine Learning Classifiers in Software Analytics

Gopi Krishnan Rajbahadur

PhD thesis, 2020

An empirical study of the characteristics of popular Minecraft mods.

Daniel Lee, Gopi Krishnan Rajbahadur, Dayi Lin, Mohammed Sayagh, Cor-Paul Bezemer, Ahmed E. Hassan

Empir. Softw. Eng., 2020

2019

Pitfalls Analyzer: Quality Control for Model-Driven Data Science Pipelines.

Gopi Krishnan Rajbahadur, Gustavo Ansaldi Oliva, Ahmed E. Hassan, Juergen Dingel

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.

Gopi Krishnan Rajbahadur, Andrew J. Malton, Andrew Walenstein, Ahmed E. Hassan

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

The impact of using regression models to build defect classifiers.

Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan

Proceedings of the 14th International Conference on Mining Software Repositories, 2017