Rahul Krishna - RankMe

63 papers A* 6A 2Journal 43Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques. IEEE Trans. Software Eng. Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray
2026	J	`jnl`	Multi-task Code LLMs: Data Mix or Model Merge? CoRR Mingzhi Zhu, Boris Sobolev, Rahul Krishna, Raju Pavuluri, Stacy Patterson, Michele Merler
2026	J	`jnl`	Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study. CoRR Maja Vukovic, Rangeet Pan, Tin Kam Ho, Rahul Krishna, Raju Pavuluri, Michele Merler
2025	—	`conf`	ASTER: Natural and Multi-Language Unit Test Generation with LLMs. SEIP@ICSE Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha
2025	J	`jnl`	Agentic Structured Graph Traversal for Root Cause Analysis of Code-related Incidents in Cloud Applications. CoRR Shengkun Cui, Rahul Krishna, Saurabh Jha, Ravishankar K. Iyer
2025	J	`jnl`	C2SaferRust: Transforming C Projects into Safer Rust with NeuroSymbolic Techniques. CoRR Vikram Nitin, Rahul Krishna, Luiz Lemos do Valle, Baishakhi Ray
2025	—	`conf`	Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights. SIGSOFT FSE Companion Rahul Krishna, Rangeet Pan, Saurabh Sinha, Srikanth Tamilselvam, Raju Pavuluri, Maja Vukovic
2025	J	`jnl`	Process-Centric Analysis of Agentic Software Systems. CoRR Shuyang Liu, Yang Chen, Rahul Krishna, Saurabh Sinha, Jatin Ganhotra, Reyhaneh Jabbarvand
2025	J	`jnl`	SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents. CoRR Rangeet Pan, Raju Pavuluri, Ruikai Huang, Rahul Krishna, Tyler Stennett, Alessandro Orso, Saurabh Sinha
2024	J	`jnl`	Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights. CoRR Rahul Krishna, Rangeet Pan, Raju Pavuluri, Srikanth Tamilselvam, Maja Vukovic, Saurabh Sinha
2024	A*	`conf`	Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. ICSE Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
2024	J	`jnl`	Multi-language Unit Test Generation using LLMs. CoRR Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha
2023	—	`conf`	Advanced machine learning models for Depression level categorization using DSM 5 and personality traits. ICMLDE Rahul Krishna, Ravi Teja, N. Neelima, Nikhita Peddi
2023	J	`jnl`	An expert system for redesigning software for cloud applications. Expert Syst. Appl. Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2023	—	`conf`	SeamFormer: High Precision Text Line Segmentation for Handwritten Documents. ICDAR (4) Niharika Vadlamudi, Rahul Krishna, Ravi Kiran Sarvadevabhatla
2023	J	`jnl`	Understanding the Effectiveness of Large Language Models in Code Translation. CoRR Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
2022	A*	`conf`	CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. ASE Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
2022	J	`jnl`	CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. CoRR Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna
2022	J	`jnl`	ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. IEEE Trans. Software Eng. Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
2022	J	`jnl`	Deep Learning Based Vulnerability Detection: Are We There Yet? IEEE Trans. Software Eng. Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
2022	A	`conf`	Methods for Stabilizing Models Across Large Samples of Projects (with case studies on Predicting Defect and Project Health). MSR Suvodeep Majumder, Tianpei Xia, Rahul Krishna, Tim Menzies
2022	J	`jnl`	Unicorn: Reasoning about Configurable System Performance through the lens of Causality. CoRR Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2022	A	`conf`	Unicorn: reasoning about configurable system performance through the lens of causality. EuroSys Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2021	A*	`conf`	Lessons learned from hyper-parameter tuning for microservice candidate identification. ASE Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2021	J	`jnl`	Lessons learned from hyper-parameter tuning for microservice candidate identification. CoRR Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2021	J	`jnl`	Mono2Micro: A Practical and Effective Tool for Decomposing Monolithic Java Applications to Microservices. CoRR Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, Debasish Banerjee
2021	—	`conf`	Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices. ESEC/SIGSOFT FSE Anup K. Kalia, Jin Xiao, Rahul Krishna, Saurabh Sinha, Maja Vukovic, Debasish Banerjee
2021	J	`jnl`	Partitioning Cloud-based Microservices (via Deep Learning). CoRR Rahul Yedida, Rahul Krishna, Anup K. Kalia, Tim Menzies, Jin Xiao, Maja Vukovic
2021	J	`jnl`	Whence to Learn? Transferring Knowledge in Configurable Systems Using BEETLE. IEEE Trans. Software Eng. Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
2020	J	`jnl`	CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi
2020	J	`jnl`	Deep Learning based Vulnerability Detection: Are We There Yet? CoRR Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray
2020	J	`jnl`	Learning actionable analytics from multiple software projects. Empir. Softw. Eng. Rahul Krishna, Tim Menzies
2020	J	`jnl`	MTFuzz: Fuzzing with a Multi-Task Neural Network. CoRR Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
2020	—	`conf`	MTFuzz: fuzzing with a multi-task neural network. ESEC/SIGSOFT FSE Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray
2019	J	`jnl`	"Sampling" as a Baseline Optimizer for Search-Based Software Engineering. IEEE Trans. Software Eng. Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
2019	J	`jnl`	Bellwethers: A Baseline Method for Transfer Learning. IEEE Trans. Software Eng. Rahul Krishna, Tim Menzies
2019	J	`jnl`	ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. CoRR Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray
2019	J	`jnl`	Learning GENERAL Principles from Hundreds of Software Projects. CoRR Suvodeep Majumder, Rahul Krishna, Tim Menzies
2019	J	`jnl`	Whence to Learn? Transferring Knowledge in Configurable Systems using BEETLE. CoRR Rahul Krishna, Vivek Nair, Pooyan Jamshidi, Tim Menzies
2019	A*	`conf`	iSENSE: completion-aware crowdtesting management. ICSE Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang
2018	J	`jnl`	Applications of Psychological Science for Actionable Analytics. CoRR Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
2018	—	`conf`	Applications of psychological science for actionable analytics. ESEC/SIGSOFT FSE Di Chen, Wei Fu, Rahul Krishna, Tim Menzies
2018	J	`jnl`	Bad Smells in Software Analytics Papers. CoRR Rahul Krishna, Suvodeep Majumder, Tim Menzies, Martin J. Shepperd
2018	—	`conf`	Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects. SWAN@ESEC/SIGSOFT FSE Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran
2018	J	`jnl`	Effective Automated Decision Support for Managing Crowdtesting. CoRR Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang
2018	J	`jnl`	Hyperparameter Optimization for Effort Estimation. CoRR Tianpei Xia, Rahul Krishna, Jianfeng Chen, George Mathew, Xipeng Shen, Tim Menzies
2018	J	`jnl`	Transfer Learning with Bellwethers to find Good Configurations. CoRR Vivek Nair, Rahul Krishna, Tim Menzies, Pooyan Jamshidi
2018	—	`conf`	We don't need another hero?: the impact of "heroes" on software development. ICSE (SEIP) Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
2018	—	`conf`	What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects. ICSE (SEIP) Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
2017	J	`jnl`	Continuous Integration: The Silver Bullet? CoRR Akond Rahman, Amritanshu Agrawal, Rahul Krishna, Alexander Sobran, Tim Menzies
2017	J	`jnl`	Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects. CoRR Rahul Krishna
2017	J	`jnl`	Learning Effective Changes For Software Projects. CoRR Rahul Krishna, Tim Menzies
2017	A*	`conf`	Learning effective changes for software projects. ASE Rahul Krishna
2017	J	`jnl`	Less is more: Minimizing code reorganization using XTREE. Inf. Softw. Technol. Rahul Krishna, Tim Menzies, Lucas Layman
2017	J	`jnl`	Simpler Transfer Learning (Using "Bellwethers"). CoRR Rahul Krishna, Tim Menzies
2017	J	`jnl`	We Don't Need Another Hero? The Impact of "Heroes" on Software Development. CoRR Amritanshu Agrawal, Akond Rahman, Rahul Krishna, Alexander Sobran, Tim Menzies
2017	J	`jnl`	What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects). CoRR Rahul Krishna, Amritanshu Agrawal, Akond Rahman, Alexander Sobran, Tim Menzies
2016	J	`jnl`	Is "Sampling" better than "Evolution" for Search-based Software Engineering? CoRR Jianfeng Chen, Vivek Nair, Rahul Krishna, Tim Menzies
2016	J	`jnl`	Recommendations for Intelligent Code Reorganization. CoRR Rahul Krishna, Tim Menzies, Lucas Layman
2016	—	`conf`	The "BigSE" project: lessons learned from validating industrial text mining. BIGDSE@ICSE Rahul Krishna, Zhe Yu, Amritanshu Agrawal, Manuel Dominguez, David Wolf
2016	A*	`conf`	Too much automation? the bellwether effect and its implications for transfer learning. ASE Rahul Krishna, Tim Menzies, Wei Fu
2015	—	`conf`	Actionable = Cluster + Contrast? ASE Workshops Rahul Krishna, Tim Menzies
2014	J	`jnl`	Entropy based Binary Particle Swarm Optimization and classification for ear detection. Eng. Appl. Artif. Intell. Madan Ravi Ganesh, Rahul Krishna, K. Manikantan, S. Ramachandran