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EAGER: Empirical Software Engineering for Computational Science
Menzies, Timothy T.J.
(PI)
UNC Kenan-Flagler
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Keyphrases
Computational Science
50%
Data Mining Tools
7%
Data Preprocessor
14%
Data-driven Methods
7%
Empirical Software Engineering
100%
Hyperparameter Optimizer
14%
Impact Review
7%
Intelligent Data
14%
Large-scale Survey
7%
New Codes
7%
Old Code
14%
Predictive Models
7%
Quantitative Data Mining
14%
Review Criteria
7%
Science Methods
7%
Scientific Phenomenon
7%
Software Development Methodology
14%
Software Quality
14%
Systematic Data
14%
Computer Science
Computational Science
50%
Data Mining Tool
7%
Predictive Model
7%
Preprocessor
14%
Quantitative Data
7%
Software Engineering
50%
Software Engineering Method
28%
Software Quality
14%