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Rahul Krishna
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2020 – today
- 2024
- [c17]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: 82:1-82:13 - [i27]Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha:
Multi-language Unit Test Generation using LLMs. CoRR abs/2409.03093 (2024) - [i26]Rahul Krishna, Rangeet Pan, Raju Pavuluri, Srikanth Tamilselvam, Maja Vukovic, Saurabh Sinha:
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights. CoRR abs/2410.13007 (2024) - 2023
- [j9]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: 119673 (2023) - [c16]Niharika Vadlamudi
, Rahul Krishna
, Ravi Kiran Sarvadevabhatla
:
SeamFormer: High Precision Text Line Segmentation for Handwritten Documents. ICDAR (4) 2023: 313-331 - [i25]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 abs/2308.03109 (2023) - 2022
- [j8]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): 893-909 (2022) - [j7]Saikat Chakraborty
, Rahul Krishna
, Yangruibo Ding
, Baishakhi Ray
:
Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. 48(9): 3280-3296 (2022) - [c15]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: 199-217 - [c14]Vikram Nitin, Shubhi Asthana, Baishakhi Ray
, Rahul Krishna
:
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. ASE 2022: 20:1-20:12 - [c13]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: 566-578 - [i24]Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi:
Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR abs/2201.08413 (2022) - [i23]Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna:
CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. CoRR abs/2207.11784 (2022) - 2021
- [j6]Rahul Krishna
, Vivek Nair
, Pooyan Jamshidi
, Tim Menzies
:
Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. 47(12): 2956-2972 (2021) - [c12]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: 1141-1145 - [c11]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: 1214-1224 - [i22]Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic:
Lessons learned from hyper-parameter tuning for microservice candidate identification. CoRR abs/2106.06652 (2021) - [i21]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 abs/2107.09698 (2021) - [i20]Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic:
Partitioning Cloud-based Microservices (via Deep Learning). CoRR abs/2109.14569 (2021) - 2020
- [j5]Rahul Krishna
, Tim Menzies
:
Learning actionable analytics from multiple software projects. Empir. Softw. Eng. 25(5): 3468-3500 (2020) - [c10]Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray:
MTFuzz: fuzzing with a multi-task neural network. ESEC/SIGSOFT FSE 2020: 737-749 - [i19]Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray:
MTFuzz: Fuzzing with a Multi-Task Neural Network. CoRR abs/2005.12392 (2020) - [i18]Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray:
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR abs/2009.07235 (2020) - [i17]Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
:
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR abs/2010.06061 (2020)
2010 – 2019
- 2019
- [j4]Jianfeng Chen
, Vivek Nair
, Rahul Krishna, Tim Menzies
:
"Sampling" as a Baseline Optimizer for Search-Based Software Engineering. IEEE Trans. Software Eng. 45(6): 597-614 (2019) - [j3]Rahul Krishna
, Tim Menzies
:
Bellwethers: A Baseline Method for Transfer Learning. IEEE Trans. Software Eng. 45(11): 1081-1105 (2019) - [c9]Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies
, Qing Wang:
iSENSE: completion-aware crowdtesting management. ICSE 2019: 912-923 - [i16]Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray:
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. CoRR abs/1910.09644 (2019) - [i15]Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies:
Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. CoRR abs/1911.01817 (2019) - [i14]Suvodeep Majumder, Rahul Krishna, Tim Menzies:
Learning GENERAL Principles from Hundreds of Software Projects. CoRR abs/1911.04250 (2019) - 2018
- [c8]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: 245-253 - [c7]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: 306-315 - [c6]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: 8-14 - [c5]Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
:
Applications of psychological science for actionable analytics. ESEC/SIGSOFT FSE 2018: 456-467 - [i13]Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi:
Transfer Learning with Bellwethers to find Good Configurations. CoRR abs/1803.03900 (2018) - [i12]Di Chen, Wei Fu, Rahul Krishna, Tim Menzies:
Applications of Psychological Science for Actionable Analytics. CoRR abs/1803.05067 (2018) - [i11]Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd:
Bad Smells in Software Analytics Papers. CoRR abs/1803.05518 (2018) - [i10]Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies:
Hyperparameter Optimization for Effort Estimation. CoRR abs/1805.00336 (2018) - [i9]Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang:
Effective Automated Decision Support for Managing Crowdtesting. CoRR abs/1805.02744 (2018) - 2017
- [j2]Rahul Krishna, Tim Menzies
, Lucas Layman
:
Less is more: Minimizing code reorganization using XTREE. Inf. Softw. Technol. 88: 53-66 (2017) - [c4]Rahul Krishna:
Learning effective changes for software projects. ASE 2017: 1002-1005 - [i8]Rahul Krishna, Tim Menzies:
Simpler Transfer Learning (Using "Bellwethers"). CoRR abs/1703.06218 (2017) - [i7]Rahul Krishna:
Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects. CoRR abs/1708.04589 (2017) - [i6]Rahul Krishna, Tim Menzies:
Learning Effective Changes For Software Projects. CoRR abs/1708.05442 (2017) - [i5]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 abs/1710.08736 (2017) - [i4]Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies:
We Don't Need Another Hero? The Impact of "Heroes" on Software Development. CoRR abs/1710.09055 (2017) - [i3]Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies:
Continuous Integration: The Silver Bullet? CoRR abs/1711.03933 (2017) - 2016
- [c3]Rahul Krishna, Zhe Yu, Amritanshu Agrawal
, Manuel Dominguez, David Wolf:
The "BigSE" project: lessons learned from validating industrial text mining. BIGDSE@ICSE 2016: 65-71 - [c2]Rahul Krishna, Tim Menzies
, Wei Fu:
Too much automation? the bellwether effect and its implications for transfer learning. ASE 2016: 122-131 - [i2]Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies:
Is "Sampling" better than "Evolution" for Search-based Software Engineering? CoRR abs/1608.07617 (2016) - [i1]Rahul Krishna, Tim Menzies, Lucas Layman:
Recommendations for Intelligent Code Reorganization. CoRR abs/1609.03614 (2016) - 2015
- [c1]Rahul Krishna, Tim Menzies
:
Actionable = Cluster + Contrast? ASE Workshops 2015: 14-17 - 2014
- [j1]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: 115-128 (2014)
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