Rahul Krishna

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 49

Top Topics

Transfer Learning

Software Projects

Binary Particle Swarm Optimization

Top Venues

IEEE Trans. Software Eng.

ESEC/SIGSOFT FSE

Publications

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. ICSE (2024)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
An expert system for redesigning software for cloud applications. Expert Syst. Appl. 219 (2023)
Niharika Vadlamudi, Rahul Krishna, Ravi Kiran Sarvadevabhatla
SeamFormer: High Precision Text Line Segmentation for Handwritten Documents. ICDAR (4) (2023)
Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
Understanding the Effectiveness of Large Language Models in Code Translation. CoRR (2023)
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
Unicorn: reasoning about configurable system performance through the lens of causality. EuroSys (2022)
Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies
Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). MSR (2022)
Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. IEEE Trans. Software Eng. 48 (3) (2022)
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. CoRR (2022)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. 48 (9) (2022)
Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. ASE (2022)
Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR (2022)
Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, Debasish Banerjee
Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices. ESEC/SIGSOFT FSE (2021)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
Lessons learned from hyper-parameter tuning for microservice candidate identification. CoRR (2021)
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. 47 (12) (2021)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
Lessons learned from hyper-parameter tuning for microservice candidate identification. ASE (2021)
Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
Partitioning Cloud-based Microservices (via Deep Learning). CoRR (2021)
Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, Debasish Banerjee
Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices. CoRR (2021)
Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR (2020)
Rahul Krishna, Tim Menzies
Learning actionable analytics from multiple software projects. Empir. Softw. Eng. 25 (5) (2020)
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
MTFuzz: fuzzing with a multi-task neural network. ESEC/SIGSOFT FSE (2020)
Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR (2020)
Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
MTFuzz: Fuzzing with a Multi-Task Neural Network. CoRR (2020)
Rahul Krishna, Tim Menzies
Bellwethers: A Baseline Method for Transfer Learning. IEEE Trans. Software Eng. 45 (11) (2019)
Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. CoRR (2019)
Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang
iSENSE: completion-aware crowdtesting management. ICSE (2019)
Suvodeep Majumder, Rahul Krishna, Tim Menzies
Learning GENERAL Principles from Hundreds of Software Projects. CoRR (2019)
Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
"Sampling" as a Baseline Optimizer for Search-Based Software Engineering. IEEE Trans. Software Eng. 45 (6) (2019)
Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. CoRR (2019)
Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd
Bad Smells in Software Analytics Papers. CoRR (2018)
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects. ICSE (SEIP) (2018)
Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang
Effective Automated Decision Support for Managing Crowdtesting. CoRR (2018)
Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
Applications of Psychological Science for Actionable Analytics. CoRR (2018)
Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi
Transfer Learning with Bellwethers to find Good Configurations. CoRR (2018)
Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran
Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects. SWAN@ESEC/SIGSOFT FSE (2018)
Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
We don't need another hero?: the impact of "heroes" on software development. ICSE (SEIP) (2018)
Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies
Hyperparameter Optimization for Effort Estimation. CoRR (2018)
Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
Applications of psychological science for actionable analytics. ESEC/SIGSOFT FSE (2018)
Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies
Continuous Integration: The Silver Bullet? CoRR (2017)
Rahul Krishna, Tim Menzies
Learning Effective Changes For Software Projects. CoRR (2017)
Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects). CoRR (2017)
Rahul Krishna, Tim Menzies
Simpler Transfer Learning (Using "Bellwethers"). CoRR (2017)
Rahul Krishna
Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects. CoRR (2017)
Rahul Krishna
Learning effective changes for software projects. ASE (2017)
Rahul Krishna, Tim Menzies, Lucas Layman
Less is more: Minimizing code reorganization using XTREE. Inf. Softw. Technol. 88 (2017)
Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
We Don't Need Another Hero? The Impact of "Heroes" on Software Development. CoRR (2017)
Rahul Krishna, Tim Menzies, Wei Fu
Too much automation? the bellwether effect and its implications for transfer learning. ASE (2016)
Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
Is "Sampling" better than "Evolution" for Search-based Software Engineering? CoRR (2016)
Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf
The "BigSE" project: lessons learned from validating industrial text mining. BIGDSE@ICSE (2016)
Rahul Krishna, Tim Menzies, Lucas Layman
Recommendations for Intelligent Code Reorganization. CoRR (2016)
Rahul Krishna, Tim Menzies
Actionable = Cluster + Contrast? ASE Workshops (2015)
Madan Ravi Ganesh, Rahul Krishna, K. Manikantan, S. Ramachandran
Entropy based Binary Particle Swarm Optimization and classification for ear detection. Eng. Appl. Artif. Intell. 27 (2014)