Rahul Krishna

According to our database, Rahul Krishna authored at least 39 papers between 2014 and 2023.

Collaborative distances:

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

2023

An expert system for redesigning software for cloud applications.

Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic

Expert Syst. Appl., June, 2023

Understanding the Effectiveness of Large Language Models in Code Translation.

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand

CoRR, 2023

SeamFormer: High Precision Text Line Segmentation for Handwritten Documents.

Niharika Vadlamudi, Rahul Krishna, Ravi Kiran Sarvadevabhatla

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022

ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance.

Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray

IEEE Trans. Software Eng., 2022

Deep Learning Based Vulnerability Detection: Are We There Yet?

Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray

IEEE Trans. Software Eng., 2022

Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health).

Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.

Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Unicorn: reasoning about configurable system performance through the lens of causality.

Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

2021

Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE.

Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies

IEEE Trans. Software Eng., 2021

Partitioning Cloud-based Microservices (via Deep Learning).

Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic

CoRR, 2021

Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices.

Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, Debasish Banerjee

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Lessons learned from hyper-parameter tuning for microservice candidate identification.

Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Learning actionable analytics from multiple software projects.

Rahul Krishna, Tim Menzies

Empir. Softw. Eng., 2020

CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning.

Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi

CoRR, 2020

MTFuzz: fuzzing with a multi-task neural network.

Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Bellwethers: A Baseline Method for Transfer Learning.

Rahul Krishna, Tim Menzies

IEEE Trans. Software Eng., 2019

"Sampling" as a Baseline Optimizer for Search-Based Software Engineering.

Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies

IEEE Trans. Software Eng., 2019

Learning GENERAL Principles from Hundreds of Software Projects.

Suvodeep Majumder, Rahul Krishna, Tim Menzies

CoRR, 2019

iSENSE: completion-aware crowdtesting management.

Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Effective Automated Decision Support for Managing Crowdtesting.

Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang

CoRR, 2018

Hyperparameter Optimization for Effort Estimation.

Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies

CoRR, 2018

Bad Smells in Software Analytics Papers.

Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd

CoRR, 2018

Transfer Learning with Bellwethers to find Good Configurations.

Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi

CoRR, 2018

Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects.

Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran

Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics, 2018

Applications of psychological science for actionable analytics.

Di Chen, Wei Fu, Rahul Krishna, Tim Menzies

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects.

Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

We don't need another hero?: the impact of "heroes" on software development.

Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies

Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

2017

Less is more: Minimizing code reorganization using XTREE.

Rahul Krishna, Tim Menzies, Lucas Layman

Inf. Softw. Technol., 2017

Continuous Integration: The Silver Bullet?

Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies

CoRR, 2017

Learning Effective Changes For Software Projects.

Rahul Krishna, Tim Menzies

CoRR, 2017

Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects.

Rahul Krishna

CoRR, 2017

Simpler Transfer Learning (Using "Bellwethers").

Rahul Krishna, Tim Menzies

CoRR, 2017

Learning effective changes for software projects.

Rahul Krishna

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2016

Recommendations for Intelligent Code Reorganization.

Rahul Krishna, Tim Menzies, Lucas Layman

CoRR, 2016

Is "Sampling" better than "Evolution" for Search-based Software Engineering?

Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies

CoRR, 2016

Too much automation? the bellwether effect and its implications for transfer learning.

Rahul Krishna, Tim Menzies, Wei Fu

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

The "BigSE" project: lessons learned from validating industrial text mining.

Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf

Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016

2015

Actionable = Cluster + Contrast?

Rahul Krishna, Tim Menzies

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015

2014

Entropy based Binary Particle Swarm Optimization and classification for ear detection.

Madan Ravi Ganesh, Rahul Krishna, K. Manikantan, S. Ramachandran

Eng. Appl. Artif. Intell., 2014