Cover Image

Uncovering Scientific Software Sustainability through Community Engagement and Software Quality Metrics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmed, Sharif, Thakur, Addi Malviya, Watson, Gregory R., Eisty, Nasir U.
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Artifact Analysis of Self-Admitted Technical Debt in Scientific Software
by: Melin, Eric L., et al.
Published: (2026)

Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts
by: Melin, Eric L., et al.
Published: (2026)

Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor
by: Ahmed, Sharif, et al.
Published: (2026)

Exploring Sustainability in Scientific Software through Code Quality & Test Coverage Metrics
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2026)

The Role of Data Filtering in Open Source Software Ranking and Selection
by: Malviya-Thakur, Addi, et al.
Published: (2024)

Hold On! Is My Feedback Useful? Evaluating the Usefulness of Code Review Comments
by: Ahmed, Sharif, et al.
Published: (2025)

Understanding Emojis :) in Useful Code Review Comments
by: Ahmed, Sharif, et al.
Published: (2024)

Scientific Open-Source Software Is Less Likely to Become Abandoned Than One Might Think! Lessons from Curating a Catalog of Maintained Scientific Software
by: Thakur, Addi Malviya, et al.
Published: (2025)

Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software
by: Melin, Eric L., et al.
Published: (2025)

MALTA: Maintenance-Aware Technical Lag, Estimation to Address Software Abandonment
by: Panter, Shane K., et al.
Published: (2026)

Decade-long Utilization Patterns of ICSE Technical Papers and Associated Artifacts
by: Ahmed, Sharif, et al.
Published: (2024)

Shaky Structures: The Wobbly World of Causal Graphs in Software Analytics
by: Hulse, Jeremy, et al.
Published: (2025)

Peer Code Review in Research Software Development: The Research Software Engineer Perspective
by: Malik, Md Ariful Islam, et al.
Published: (2025)

Testing Research Software: An In-Depth Survey of Practices, Methods, and Tools
by: Eisty, Nasir U., et al.
Published: (2025)

Ten Essential Guidelines for Building High-Quality Research Software
by: Eisty, Nasir U., et al.
Published: (2025)

Leveraging Large Language Models for Predicting Cost and Duration in Software Engineering Projects
by: Carpenter, Justin, et al.
Published: (2024)

Sentiment Analysis of ML Projects: Bridging Emotional Intelligence and Code Quality
by: Ahmed, Md Shoaib, et al.
Published: (2024)

Ten Simple Rules for Catalyzing Collaborations and Building Bridges between Research Software Engineers and Software Engineering Researchers
by: Eisty, Nasir U., et al.
Published: (2025)

The Role of AI in Modern Penetration Testing
by: Curtis, J. Alexander, et al.
Published: (2025)

Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt
by: Melin, Eric L., et al.
Published: (2024)

Technical Lag as Latent Technical Debt: A Rapid Review
by: Panter, Shane K., et al.
Published: (2026)

LLMs in Code Vulnerability Analysis: A Proof of Concept
by: Sultana, Shaznin, et al.
Published: (2026)

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2024)

Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models
by: Sultana, Shaznin, et al.
Published: (2024)

Rusty Linux: Advances in Rust for Linux Kernel Development
by: Panter, Shane K., et al.
Published: (2024)

The Kubernetes Security Landscape: AI-Driven Insights from Developer Discussions
by: Curtis, J. Alexander, et al.
Published: (2024)

Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models
by: Melin, Eric L., et al.
Published: (2024)

PVAC: Package Version Activity Categorizer, Leveraging Semantic Versioning in a Heterogeneous System
by: Panter, Shane K., et al.
Published: (2024)

Exploring Requirements Elicitation from App Store User Reviews Using Large Language Models
by: Ghosh, Tanmai Kumar, et al.
Published: (2024)

Community Engagement and the Lifespan of Open-Source Software Projects
by: Kaushik, Mohit, et al.
Published: (2025)

Beyond Pass/Fail: The Story of Learning-Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2025)

Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)

Deciphering WONTFIX: A Mixed-Method Study on Why GitHub Issues Get Rejected
by: Curtis, J. Alexander, et al.
Published: (2025)

Software Code Quality Measurement: Implications from Metric Distributions
by: Jin, Siyuan, et al.
Published: (2023)

Towards Understanding the Impact of Code Modifications on Software Quality Metrics
by: Karanikiotis, Thomas, et al.
Published: (2024)

Object Oriented-Based Metrics to Predict Fault Proneness in Software Design
by: Mir, Areeb Ahmed, et al.
Published: (2025)

Free Open Source Communities Sustainability: Does It Make a Difference in Software Quality?
by: Alami, Adam, et al.
Published: (2024)

Practical Feasibility of Sustainable Software Engineering Tools and Techniques
by: Ghanta, Satwik, et al.
Published: (2026)

"ENERGY STAR" LLM-Enabled Software Engineering Tools
by: Thakur, Himon, et al.
Published: (2026)

Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization
by: Rahman, Sheikh Md Mushfiqur, et al.
Published: (2025)