Abstract
Published by Elsevier B.V. This study introduces a web-based visual analytic framework to better understand the software structures of large-scale environmental models. The framework integrates data management, software structures analysis, and web-based visualizations. A system for the Community Land Model (CLM) is developed to demonstrate the capability of the proposed framework. It consists of three major components: (1) a Fortran-syntax analysis tool that decomposes CLM source code into simpler forms; (2) an application tier that further analyzes and converts the prepro-cessed data into meaningful software structural information; (3) a web-based front end that is developed using state-of-the-art web technologies and visualization toolkit (e.g., D3.js). The framework provides users with easy access to the internal structures of complex environmental models. Currently, the prototype system is being used by CLM modelers and field scientists to tackle different environmental research problems.
Original language | English |
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Pages (from-to) | 1731-1740 |
Number of pages | 10 |
Journal | Procedia Computer Science |
Volume | 108 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Externally published | Yes |
Event | International Conference on Computational Science ICCS 2017 - ETH Zurich, Zurich, Switzerland Duration: 12 Jun 2017 → 14 Jun 2017 |
Keywords
- environment
- information visualization
- software engineering
- web-based services
ASJC Scopus subject areas
- General Computer Science