Sharif Ahmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Boise State University (2022–2025); University of Gävle (2025); Conway School of Landscape Design (2026)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Sharif Ahmed's research focuses on understanding and improving software development processes, particularly in the realm of code review and natural language processing.
His work includes systematic reviews of automatic transformation from natural language to Unified Modeling Language, and investigations into the usefulness of code review comments. Ahmed has explored how emojis are utilized in code review comments and analyzed the broader engagement patterns with technical papers and associated artifacts from computer science conferences. A significant portion of his research examines the characterization of code review comments in scientific software, assessing their impact on software quality and scientific rigor.
Ahmed also leads research funded by the National Science Foundation (NSF) through the CRII: SaTC program. This project, "Towards Trustworthy and Accountable IoT Data Marketplaces," received $169,635 and aims to enhance the security and trustworthiness of data exchange within Internet of Things environments. His scholarly output includes 17 publications with 33 citations and an h-index of 2.
Metrics
- h-index: 2
- Publications: 16
- Citations: 35
Selected Publications
-
Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor (2026)
-
Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor (2026)arXiv (Cornell University) OpenAlex
-
Uncovering Scientific Software Sustainability through Community Engagement and Software Quality Metrics (2026)
Federal Grants 1 $169,635 total
CRII: SaTC: RUI: Towards Trustworthy and Accountable IoT Data Marketplaces
Collaboration Network
Top Collaborators
- Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor
Similar Researchers
Based on overlapping research topics