Nasir U. Eisty

According to our database, Nasir U. Eisty authored at least 53 papers between 2018 and 2026.

Collaborative distances:

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

2026

Peer code review in research software development: The research software engineer perspective.

Md. Ariful Islam Malik, Jeffrey C. Carver, Nasir U. Eisty

Empir. Softw. Eng., April, 2026

Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor.

Sharif Ahmed, Nasir U. Eisty

CoRR, April, 2026

Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts.

Eric L. Melin, Nasir U. Eisty, Gregory R. Watson, Addi Malviya-Thakur

CoRR, March, 2026

MALTA: Maintenance-Aware Technical Lag, Estimation to Address Software Abandonment.

Shane K. Panter, Nasir U. Eisty

CoRR, March, 2026

Technical Lag as Latent Technical Debt: A Rapid Review.

Shane K. Panter, Nasir U. Eisty

CoRR, January, 2026

Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software.

Eric L. Melin, Nasir U. Eisty, Gregory R. Watson, Addi Malviya-Thakur

CoRR, January, 2026

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware.

Md Mashrur Arifin, Maqsudur Rahman, Nasir U. Eisty

CoRR, January, 2026

Scientific Software in the Age of Vibe Coding.

Gabrielle O'Brien, Nasir U. Eisty

Comput. Sci. Eng., 2026

LLMs in Code Vulnerability Analysis: A Proof of Concept.

Shaznin Sultana, Sadia Afreen, Nasir U. Eisty

Proceedings of the 2026 IEEE/ACM 4th International Workshop on Software Vulnerability Management, 2026

2025

More code, less validation: Risk factors for over-reliance on AI coding tools among scientists.

Gabrielle O'Brien, Alexis Parker, Nasir U. Eisty, Jeffrey C. Carver

CoRR, December, 2025

The Role of AI in Modern Penetration Testing.

J. Alexander Curtis, Nasir U. Eisty

CoRR, December, 2025

Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software.

Eric L. Melin, Ahmed Musa Awon, Nasir U. Eisty, Neil A. Ernst, Shurui Zhou

CoRR, November, 2025

Uncovering Scientific Software Sustainability through Community Engagement and Software Quality Metrics.

Sharif Ahmed, Addi Malviya-Thakur, Gregory R. Watson, Nasir U. Eisty

CoRR, November, 2025

PVAC: package version activity categorizer, leveraging semantic versioning in a heterogeneous system.

Shane K. Panter, Lucas S. Hindman, Nasir U. Eisty

Empir. Softw. Eng., October, 2025

Shaky structures: The wobbly world of causal graphs in software analytics.

Jeremy Hulse, Nasir U. Eisty, Tim Menzies

Empir. Softw. Eng., October, 2025

Deciphering WONTFIX: A Mixed-Method Study on Why GitHub Issues Get Rejected.

J. Alexander Curtis, Sharadha Kasiviswanathan, Nasir U. Eisty

CoRR, October, 2025

Beyond Pass/Fail: The Story of Learning-Based Testing.

Sheikh Md. Mushfiqur Rahman, Nasir U. Eisty

CoRR, October, 2025

Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization.

Sheikh Md. Mushfiqur Rahman, Nasir U. Eisty

CoRR, September, 2025

Ten Essential Guidelines for Building High-Quality Research Software.

Nasir U. Eisty, David E. Bernholdt, Alex Koufos, David J. Luet, Miranda Mundt

CoRR, July, 2025

Testing research software: an in-depth survey of practices, methods, and tools.

Nasir U. Eisty, Upulee Kanewala, Jeffrey C. Carver

Empir. Softw. Eng., June, 2025

Hold on! is my feedback useful? evaluating the usefulness of code review comments.

Sharif Ahmed, Nasir U. Eisty

Empir. Softw. Eng., June, 2025

Bridging Two Worlds: Introducing the Software Engineering and Scientific Computing Department.

Nasir U. Eisty, Thomas M. Evans

Comput. Sci. Eng., 2025

Ten Simple Rules for Catalyzing Collaborations and Building Bridges Between Research Software Engineers and Software Engineering Researchers.

Nasir U. Eisty, Jeffrey C. Carver, Johanna Cohoon, Ian A. Cosden, Carole A. Goble, Samuel Grayson

Comput. Sci. Eng., 2025

Better Architecture, Better Software, Better Research.

Stephan Druskat, Nasir U. Eisty, Robert Chisholm, Neil P. Chue Hong, Ryan C. Cocking, Myra B. Cohen, Michael Felderer, Lars Grunske, Sarah A. Harris, Wilhelm Hasselbring, Thomas Krause, Jan Linxweiler, Colin C. Venters

Comput. Sci. Eng., 2025

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing.

Sheikh Md. Mushfiqur Rahman, Nasir U. Eisty

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

Analyzing Social Media Engagement of Computer Science Conferences.

Rey Ortiz, Sharif Ahmed, Priscilla Salas, Nasir U. Eisty

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt.

Eric L. Melin, Nasir U. Eisty

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions.

J. Alexander Curtis, Nasir U. Eisty

Proceedings of the 23rd IEEE/ACIS International Conference on Software Engineering Research, 2025

2024

Precision or Peril: Evaluating Code Quality from Quantized Large Language Models.

Eric L. Melin, Adam J. Torek, Nasir U. Eisty, Casey Kennington

CoRR, 2024

Sentiment Analysis of ML Projects: Bridging Emotional Intelligence and Code Quality.

Md Shoaib Ahmed, Dongyoung Park, Nasir U. Eisty

CoRR, 2024

Exploring Requirements Elicitation from App Store User Reviews Using Large Language Models.

Tanmai Kumar Ghosh, Atharva Pargaonkar, Nasir U. Eisty

CoRR, 2024

Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models.

Shaznin Sultana, Sadia Afreen, Nasir U. Eisty

CoRR, 2024

Leveraging Large Language Models for Predicting Cost and Duration in Software Engineering Projects.

Justin Carpenter, Chia-Ying Wu, Nasir U. Eisty

CoRR, 2024

A Systematic Approach to Evaluating Development Activity in Heterogeneous Package Management Systems for Overall System Health Assessment.

Shane K. Panter, Luke Hindman, Nasir U. Eisty

CoRR, 2024

Exploiting CPU Clock Modulation for Covert Communication Channel.

Shariful Alam, Jidong Xiao, Nasir U. Eisty

Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024

Decade-long Utilization Patterns of ICSE Technical Papers and Associated Artifacts.

Sharif Ahmed, Rey Ortiz, Nasir U. Eisty

Proceedings of the 22nd IEEE/ACIS International Conference on Software Engineering Research, 2024

Understanding Emojis : ) in Useful Code Review Comments.

Sharif Ahmed, Nasir U. Eisty

Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, 2024

Rusty Linux: Advances in Rust for Linux Kernel Development.

Shane K. Panter, Nasir U. Eisty

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023

Analysis of Software Engineering Practices in General Software and Machine Learning Startups.

Bishal Lakha, Kalyan Bhetwal, Nasir U. Eisty

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Documentation Practices in Agile Software Development: A Systematic Literature Review.

Md Athikul Islam, Rizbanul Hasan, Nasir U. Eisty

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Analyzing the Effects of CI/CD on Open Source Repositories in GitHub and GitLab.

Jeffrey Fairbanks, Akshharaa Tharigonda, Nasir U. Eisty

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Evaluating Code Metrics in GitHub Repositories Related to Fake News and Misinformation.

Jason Duran, Mostofa Najmus Sakib, Nasir U. Eisty, Francesca Spezzano

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Applications of Causality and Causal Inference in Software Engineering.

Patrick Chadbourne, Nasir U. Eisty

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Exploring the Advances in Identifying Useful Code Review Comments.

Sharif Ahmed, Nasir U. Eisty

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2022

Testing research software: a survey.

Nasir U. Eisty, Jeffrey C. Carver

Empir. Softw. Eng., 2022

Developers perception of peer code review in research software development.

Nasir U. Eisty, Jeffrey C. Carver

Empir. Softw. Eng., 2022

Special Issue on the Future of Research Software Engineers in the United States - Part II.

Jeffrey C. Carver, Nasir U. Eisty, Hai Ah Nam, Irina Tezaur

Comput. Sci. Eng., 2022

Special Issue on the Future of Research Software Engineers in the United States - Part I.

Jeffrey C. Carver, Nasir U. Eisty, Hai Ah Nam, Irina Tezaur

Comput. Sci. Eng., 2022

Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review.

Shashank Bangalore Lakshman, Nasir U. Eisty

Proceedings of the 4th IEEE/ACM International Workshop on Software Engineering Research and Practices for the IoT, 2022

Automatic Transformation of Natural to Unified Modeling Language: A Systematic Review.

Sharif Ahmed, Arif Ahmed, Nasir U. Eisty

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

2020

Testing Research Software: A Case Study.

Nasir U. Eisty, Danny Perez, Jeffrey C. Carver, J. David Moulton, Hai Ah Nam

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Use of Software Process in Research Software Development: A Survey.

Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver

Proceedings of the Evaluation and Assessment on Software Engineering, 2019

2018

A Survey of Software Metric Use in Research Software Development.

Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver

Proceedings of the 14th IEEE International Conference on e-Science, 2018