A verification-driven approach to traceability and documentation for auto-generated mathematical software
A verification-driven approach to traceability and documentation for auto-generated mathematical software
Automated code generators are increasingly used in safety-critical applications, but since they are typically not qualified, the generated code must still be fully tested, reviewed, and certified. For mathematical and engineering software this requires reviewers to trace subtle details of textbook formulas and algorithms to the code, and to match requirements (e.g., physical units or coordinate frames) not represented explicitly in models or code. We support these tasks by using the AutoCert verification system to identify and verify mathematical concepts in the code, recovering verified traceability links between concepts, code, and verification conditions. We then exploit these links to construct a natural language report that provides a high-level structured argument explaining where the code uses specified assumptions and why and how it complies with the requirements. We have applied our approach to generate review documents for several sub-systems of NASA's Project Constellation.
978-0-7695-3891-4
560-564
Denney, Ewen
cce9ba14-a1fd-4a7b-8e90-fcb234b53e1d
Fischer, Bernd
0c9575e6-d099-47f1-b3a2-2dbc93c53d18
2009
Denney, Ewen
cce9ba14-a1fd-4a7b-8e90-fcb234b53e1d
Fischer, Bernd
0c9575e6-d099-47f1-b3a2-2dbc93c53d18
Denney, Ewen and Fischer, Bernd
(2009)
A verification-driven approach to traceability and documentation for auto-generated mathematical software.
ASE '09. Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering, Auckland, New Zealand.
16 - 20 Nov 2009.
.
(doi:10.1109/ASE.2009.71).
Record type:
Conference or Workshop Item
(Poster)
Abstract
Automated code generators are increasingly used in safety-critical applications, but since they are typically not qualified, the generated code must still be fully tested, reviewed, and certified. For mathematical and engineering software this requires reviewers to trace subtle details of textbook formulas and algorithms to the code, and to match requirements (e.g., physical units or coordinate frames) not represented explicitly in models or code. We support these tasks by using the AutoCert verification system to identify and verify mathematical concepts in the code, recovering verified traceability links between concepts, code, and verification conditions. We then exploit these links to construct a natural language report that provides a high-level structured argument explaining where the code uses specified assumptions and why and how it complies with the requirements. We have applied our approach to generate review documents for several sub-systems of NASA's Project Constellation.
Text
PID990247.pdf
- Other
More information
Published date: 2009
Venue - Dates:
ASE '09. Proceedings of the 2009 IEEE/ACM International Conference on Automated Software Engineering, Auckland, New Zealand, 2009-11-16 - 2009-11-20
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 271132
URI: http://eprints.soton.ac.uk/id/eprint/271132
ISBN: 978-0-7695-3891-4
PURE UUID: 00395455-a7a0-42d5-a19c-33314c246a2b
Catalogue record
Date deposited: 19 May 2010 19:42
Last modified: 14 Mar 2024 09:23
Export record
Altmetrics
Contributors
Author:
Ewen Denney
Author:
Bernd Fischer
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics