Volume 8 Number 9 ( Sep. 2013)
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JSW 2013 Vol.8(9): 2177-2184 ISSN: 1796-217X
doi: 10.4304/jsw.8.9.2177-2184

Automated Quality Assurance Analysis: WRF–A Case Study

John Collins1, Brian Farrimond2, Mark Anderson3, Darryl Owens3, Darryl Bayliss3, David Gill4
1SimCon Ltd., UK
2Remote Radar Sensing Group, University of Cape Town, South Africa
3Department of Computing, Edge Hill University, UK
4National Center for Atmospheric Research, Boulder, CO, USA

Abstract—Powerful software tools are used by the aerospace and power generation communities to check codes for errors. The Software Validation Project at Edge Hill University (http://www.edgehill.ac.uk) in collaboration with SimCon Ltd (http://www.simconglobal.com) has applied these tools to WRF, the most widely used program for modeling climate and weather. Preliminary results have been generated. Although the WRF code has been found to be of a very high standard, some errors have been identified, both in the code and in the compilers used to build it. An aim of the project is to use CASE tools to correct some classes of error automatically. This paper discusses the classes of error that have been identified to date, presents the initial findings from the investigations performed by the project team.

Index Terms—Quality assurance, automated software engineering, error removal.


Cite: John Collins and Brian Farrimond, Mark Anderson, Darryl Owens, Darryl Bayliss, David Gill, "Automated Quality Assurance Analysis: WRF–A Case Study," Journal of Software vol. 8, no. 9, pp. 2177-2184, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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