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Gopi Krishnan Rajbahadur

Observed names: Gopi Krishnan Krishnan Rajbahadur, Rajbahadur, Gopi, Rajbahadur, Gopi Krishnan
ORCID: 0000-0003-1812-5365
Observed ORCID: 0000-0003-1812-5365
OpenAlex ID: A5052055475
The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers
2021 · Gopi Krishnan Rajbahadur, Shaowei Wang, et al. · IEEE Transactions on Software Engineering · 133
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Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
2024 · Hao Li, Gopi Krishnan Rajbahadur, et al. · IEEE Access · 99
A Survey of Anomaly Detection for Connected Vehicle Cybersecurity and Safety
2018 · Gopi Krishnan Rajbahadur, Andrew J. Malton, et al. · IEEE Intelligent Vehicles Symposium · 74
The Impact of Using Regression Models to Build Defect Classifiers
2017 · Gopi Krishnan Rajbahadur, Shaowei Wang, et al. · International Conference on Mining Software Repositories (MSR) · 67
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Is My Transaction Done Yet? An Empirical Study of Transaction Processing Times in the Ethereum Blockchain Platform
2022 · Michael Pacheco, Gustavo Oliva, et al. · ACM Transactions on Software Engineering and Methodology · 50
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Towards training reproducible deep learning models
2022 · Boyuan Chen, Mingzhi Wen, et al. · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 50
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Rethinking Software Engineering in the Era of Foundation Models: A Curated Catalogue of Challenges in the Development of Trustworthy FMware
2024 · Ahmed E. Hassan, Dayi Lin, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 35
Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering
2019 · Gopi Krishnan Rajbahadur, Shaowei Wang, et al. · IEEE Transactions on Software Engineering · 31
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Towards a Consistent Interpretation of AIOps Models
2021 · Yingzhe Lyu, Gopi Krishnan Rajbahadur, et al. · ACM Transactions on Software Engineering and Methodology · 29
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An empirical study of the characteristics of popular Minecraft mods
2020 · Daniel Lee, Gopi Krishnan Rajbahadur, et al. · Empirical Software Engineering · 26
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Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction
2021 · Lina Gong, Gopi Krishnan Krishnan Rajbahadur, et al. · IEEE Transactions on Software Engineering · 25
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What makes Ethereum blockchain transactions be processed fast or slow? An empirical study
2023 · Michael Pacheco, Gustavo A. Oliva, et al. · Empirical Software Engineering · 22
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Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers
2026 · Mohammed Mehedi Hasan, Hao Li, et al. · ACM Transactions on Software Engineering and Methodology · 20
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Revisiting reopened bugs in open source software systems
2022 · Ankur Tagra, Haoxiang Zhang, et al. · Empirical Software Engineering · 17
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
2024 · Hao Li, Gopi Krishnan Rajbahadur, et al. · ACM Transactions on Software Engineering and Methodology · 16
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Towards Privacy Preserving Cross Project Defect Prediction with Federated Learning
2023 · Hiroki Yamamoto, Dong Wang, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) · 16
Implementing AI Bill of Materials (AI BOM) with SPDX 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials
2024 · Karen Bennet, Gopi Krishnan Rajbahadur, et al. · 7
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Pitfalls Analyzer: Quality Control for Model-Driven Data Science Pipelines
2019 · Gopi Krishnan Rajbahadur, Gustavo Ansaldi Oliva, et al. · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) · 6
An empirical study of testing practices in open source AI agent frameworks and agentic applications
2026 · Mohammed Mehedi Hasan, Hao Li, et al. · Empirical Software Engineering · 4
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Prompt Me: Intelligent Software Agent for Requirements Engineering - A Vision Paper
2025 · Jacek Dąbrowski, Amel Bennaceur, et al. · Lecture notes in computer science · 3
SimClone: Detecting Tabular Data Clones Using Value Similarity
2024 · Xu Yang, Gopi Krishnan Rajbahadur, et al. · ACM Transactions on Software Engineering and Methodology · 3
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Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
2026 · James Jewitt, Gopi Krishnan Rajbahadur, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap
2026 · Gopi Krishnan Rajbahadur, Gustavo A. Oliva, et al. · ACM Transactions on Software Engineering and Methodology · 2
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Promptexp: Multi-Granularity Prompt Explanation of Large Language Models
2025 · Ximing Dong, Shaowei Wang, et al. · ACM International Conference on AI-Powered Software (AIware) · 2
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LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance
2025 · Jingwen Tan, Gopi Krishnan Rajbahadur, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 2
Works count: 50
Citation count: 754
H-index: 16
I10-index: 16
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