Clone Merge - An Eclipse Plugin to Abstract Near-Clone C++ Methods. - Krishna Narasimhan (ASE, 2015)

Copy and Paste Redeemed (T). - Krishna Narasimhan; Christoph Reichenbach (ASE, 2015)

Copy and paste redeemed. - Krishna Narasimhan; Christoph Reichenbach (Software Engineering, 2016)

Interactive data representation migration: exploiting program dependence to aid program transformation. - Krishna Narasimhan; Christoph Reichenbach; Julia Lawall (PEPM, 2017)

Combining user-interaction and automation to evolve source code. - Krishna Narasimhan (2017)

Cleaning up copy-paste clones with interactive merging. - Krishna Narasimhan; Christoph Reichenbach; Julia Lawall (Autom. Softw. Eng., 2018)

Dealing with Variability in API Misuse Specification. - Rodrigo Bonifácio; Stefan Krüger; Krishna Narasimhan; Eric Bodden; Mira Mezini (ECOOP, 2021)

NerdBug: automated bug detection in neural networks. - Foad Jafarinejad; Krishna Narasimhan; Mira Mezini (AISTA@ISSTA, 2021)

Impact of programming languages on machine learning bugs. - Sebastian Sztwiertnia; Maximilian Grübel; Amine Chouchane; Daniel Sokolowski; Krishna Narasimhan; Mira Mezini (AISTA@ISSTA, 2021)

Fex: Assisted Identification of Domain Features from C Programs. - Patrick Müller; Krishna Narasimhan; Mira Mezini (SCAM, 2021)

BRAID: an API recommender supporting implicit user feedback. - Yu Zhou 010; Haonan Jin; Xinying Yang; Taolue Chen 001; Krishna Narasimhan; Harald C. Gall (ESEC/SIGSOFT FSE, 2021)

Dealing with Variability in API Misuse Specification (Artifact Package). - Rodrigo Bonifácio; Stefan Krüger; Krishna Narasimhan; Eric Bodden; Mira Mezini (Zenodo, 2021)

jGuard: Programming Misuse-Resilient APIs. - Simon Binder; Krishna Narasimhan; Svenja Kernig; Mira Mezini (SLE, 2022)

To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild. - Anna-Katharina Wickert; Lars Baumgärtner; Michael Schlichtig; Krishna Narasimhan; Mira Mezini (TrustCom, 2022)

FUM - A Framework for API Usage constraint and Misuse Classification. - Michael Schlichtig; Steffen Sassalla; Krishna Narasimhan; Eric Bodden (SANER, 2022)

Exploring the use of static and dynamic analysis to improve the performance of the mining sandbox approach for android malware identification. - Francisco Handrick da Costa; Ismael Medeiros; Thales Menezes; João Victor da Silva; Ingrid Lorraine da Silva; Rodrigo Bonifácio; Krishna Narasimhan; Márcio Ribeiro 001 (J. Syst. Softw., 2022)

Towards Code Generation from BDD Test Case Specifications: A Vision. - Leon Chemnitz; David Reichenbach; Hani Aldebes; Mariam Naveed; Krishna Narasimhan; Mira Mezini (CAIN, 2023)

Introducing FUM: A Framework for API Usage Constraint and Misuse Classification. - Michael Schlichtig; Steffen Sassalla; Krishna Narasimhan; Eric Bodden (Software Engineering, 2023)

Evaluating and improving transformers pre-trained on ASTs for Code Completion. - Marcel Ochs; Krishna Narasimhan; Mira Mezini (SANER, 2023)

A Critical Study of What Code-LLMs (Do Not) Learn. - Abhinav Anand; Shweta Verma; Krishna Narasimhan; Mira Mezini (ACL (Findings), 2024)

Towards Trustworthy AI Software Development Assistance. - Daniel Maninger; Krishna Narasimhan; Mira Mezini (NIER@ICSE, 2024)

Scaling Up: Revisiting Mining Android Sandboxes at Scale for Malware Classification (Replication Paper). - Francisco Handrick da Costa; Ismael Medeiros; Leandro Oliveira; João Calássio; Rodrigo Bonifácio; Krishna Narasimhan; Mira Mezini; Márcio Ribeiro 001 (ECOOP, 2025)

Scaling Up: Revisiting Mining Android Sandboxes at Scale for Malware Classification. - Francisco Handrick da Costa; Ismael Medeiros; Leandro Oliveira; João Calássio; Rodrigo Bonifácio; Krishna Narasimhan; Mira Mezini; Márcio Ribeiro 001 (CoRR, 2025)