Gopi Krishnan Rajbahadur

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Learning Models

Processing Times

Privacy Preserving

Significant Predictors

Top Venues

Empir. Softw. Eng.

IEEE Trans. Software Eng.

ACM Trans. Softw. Eng. Methodol.

Publications

Ahmed E. Hassan, Dayi Lin, Gopi Krishnan Rajbahadur, Keheliya Gallaba, Filipe Roseiro Côgo, Boyuan Chen, Haoxiang Zhang, Kishanthan Thangarajah, Gustavo Ansaldi Oliva, Jiahuei (Justina) Lin, Wali Mohammad Abdullah, Zhen Ming (Jack) Jiang
Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. SIGSOFT FSE Companion (2024)
Hao Li, Gopi Krishnan Rajbahadur, Cor-Paul Bezemer
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality. CoRR (2024)
Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. IEEE Access 12 (2024)
Dayi Lin, Filipe Roseiro Côgo, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
Technical Brief on Software Engineering for FMware. ICSE Companion (2024)
Xu Yang, Gopi Krishnan Rajbahadur, Dayi Lin, Shaowei Wang, Zhen Ming Jiang
SimClone: Detecting Tabular Data Clones using Value Similarity. CoRR (2024)
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
Rethinking Software Engineering in the Foundation Model Era: A Curated Catalogue of Challenges in the Development of Trustworthy FMware. CoRR (2024)
Filipe Roseiro Côgo, Gopi Krishnan Rajbahadur, Dayi Lin, Ahmed E. Hassan
A Tutorial on Software Engineering for FMware. SIGSOFT FSE Companion (2024)
Hao Li, Gopi Krishnan Rajbahadur, Dayi Lin, Cor-Paul Bezemer, Zhen Ming Jiang
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. CoRR (2024)
Michael Pacheco, Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
Is My Transaction Done Yet? An Empirical Study of Transaction Processing Times in the Ethereum Blockchain Platform. ACM Trans. Softw. Eng. Methodol. 32 (3) (2023)
Hiroki Yamamoto, Dong Wang, Gopi Krishnan Rajbahadur, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning. SANER (2023)
Michael Pacheco, Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study. Empir. Softw. Eng. 28 (2) (2023)
Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming Jiang
Towards a consistent interpretation of AIOps models. CoRR (2022)
Yingzhe Lyu, Gopi Krishnan Rajbahadur, Dayi Lin, Boyuan Chen, Zhen Ming (Jack) Jiang
Towards a Consistent Interpretation of AIOps Models. ACM Trans. Softw. Eng. Methodol. 31 (1) (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Gustavo Ansaldi Oliva, Yasutaka Kamei, Ahmed E. Hassan
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers. IEEE Trans. Software Eng. 48 (7) (2022)
Michael Pacheco, Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
Is my transaction done yet? An empirical study of transaction processing times in the Ethereum Blockchain Platform. CoRR (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
The Impact of Using Regression Models to Build Defect Classifiers. CoRR (2022)
Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang
Towards Training Reproducible Deep Learning Models. ICSE (2022)
Ankur Tagra, Haoxiang Zhang, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
Revisiting reopened bugs in open source software systems. Empir. Softw. Eng. 27 (4) (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
Impact of Discretization Noise of the Dependent variable on Machine Learning Classifiers in Software Engineering. CoRR (2022)
Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction. CoRR (2022)
Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang
Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction. IEEE Trans. Software Eng. 48 (12) (2022)
Boyuan Chen, Mingzhi Wen, Yong Shi, Dayi Lin, Gopi Krishnan Rajbahadur, Zhen Ming Jiang
Towards Training Reproducible Deep Learning Models. CoRR (2022)
Ankur Tagra, Haoxiang Zhang, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
Revisiting reopened bugs in open source software systems. CoRR (2022)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
The impact of feature importance methods on the interpretation of defect classifiers. CoRR (2022)
Michael Pacheco, Gustavo Ansaldi Oliva, Gopi Krishnan Rajbahadur, Ahmed E. Hassan
What makes Ethereum blockchain transactions be processed fast or slow? An empirical study. CoRR (2022)
Gopi Krishnan Rajbahadur, Erika Tuck, Li Zi, Zhang Wei, Dayi Lin, Boyuan Chen, Zhen Ming Jiang, Daniel Morales German
Can I use this publicly available dataset to build commercial AI software? Most likely not. CoRR (2021)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering. IEEE Trans. Software Eng. 47 (7) (2021)
Daniel Lee, Gopi Krishnan Rajbahadur, Dayi Lin, Mohammed Sayagh, Cor-Paul Bezemer, Ahmed E. Hassan
An Empirical Study of the Characteristics of Popular Minecraft Mods. CoRR (2021)
Daniel Lee, Gopi Krishnan Rajbahadur, Dayi Lin, Mohammed Sayagh, Cor-Paul Bezemer, Ahmed E. Hassan
An empirical study of the characteristics of popular Minecraft mods. Empir. Softw. Eng. 25 (5) (2020)
Gopi Krishnan Rajbahadur, Gustavo Ansaldi Oliva, Ahmed E. Hassan, Juergen Dingel
Pitfalls Analyzer: Quality Control for Model-Driven Data Science Pipelines. MoDELS (2019)
Gopi Krishnan Rajbahadur, Andrew J. Malton, Andrew Walenstein, Ahmed E. Hassan
A Survey of Anomaly Detection for Connected Vehicle Cybersecurity and Safety. Intelligent Vehicles Symposium (2018)
Gopi Krishnan Rajbahadur, Shaowei Wang, Yasutaka Kamei, Ahmed E. Hassan
The impact of using regression models to build defect classifiers. MSR (2017)