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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stewart, M.E.M. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dynacs Eng. Inc., Cleveland, OH, USA (Stewart, M.E.M.) |
| Abstract | This paper concerns automated analysis of the meaning or semantics of scientific and engineering code. The procedure involves taking a user's existing code, adding semantic declarations for some primitive variables, and automatically identifying formulae. Parsers encode domain knowledge and recognize formulae in different disciplines including physics, numerical methods, mathematics, and geometry. The parsers will automatically recognize and document some static, semantic concepts and help locate some program semantic errors. Results are shown for three intensively studied codes and seven blind test cases; all test cases are state of the art scientific codes. These techniques may apply to a wider range of scientific codes. If so, the techniques could reduce the time, risk, and effort required to develop and modify scientific codes. |
| Starting Page | 281 |
| Ending Page | 284 |
| File Size | 424904 |
| Page Count | 4 |
| File Format | |
| ISBN | 0769507107 |
| ISSN | 15271366 |
| DOI | 10.1109/ASE.2000.873678 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-15 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Testing Acceleration Physics Object oriented programming Software performance Knowledge representation Equations Documentation Manuals Investments |
| Content Type | Text |
| Resource Type | Article |
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