Incremental units-of-measure verification
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916273804279808 |
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| author | Danish, Matthew Orchard, Dominic Rice, Andrew |
| author_facet | Danish, Matthew Orchard, Dominic Rice, Andrew |
| contents | Despite an abundance of proposed systems, the verification of units-of-measure within programs remains rare in scientific computing. We attempt to address this issue by providing a lightweight static verification system for units-of-measure in Fortran programs which supports incremental annotation of large projects. We take the opposite approach to the most mainstream existing deployment of units-of-measure typing (in F#) and generate a global, rather than local, constraints system for a program. We show that such a system can infer (and check) polymorphic units specifications for under-determined parts of the program. Not only does this ability allow checking of partially annotated programs but it also allows the global constraint problem to be partitioned. This partitioning means we can scale to large programs by solving constraints for each program module independently and storing inferred units at module boundaries (separate verification). We provide an implementation of our approach as an extension to an open-source Fortran analysis tool. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_02174 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Incremental units-of-measure verification Danish, Matthew Orchard, Dominic Rice, Andrew Programming Languages Despite an abundance of proposed systems, the verification of units-of-measure within programs remains rare in scientific computing. We attempt to address this issue by providing a lightweight static verification system for units-of-measure in Fortran programs which supports incremental annotation of large projects. We take the opposite approach to the most mainstream existing deployment of units-of-measure typing (in F#) and generate a global, rather than local, constraints system for a program. We show that such a system can infer (and check) polymorphic units specifications for under-determined parts of the program. Not only does this ability allow checking of partially annotated programs but it also allows the global constraint problem to be partitioned. This partitioning means we can scale to large programs by solving constraints for each program module independently and storing inferred units at module boundaries (separate verification). We provide an implementation of our approach as an extension to an open-source Fortran analysis tool. |
| title | Incremental units-of-measure verification |
| topic | Programming Languages |
| url | https://arxiv.org/abs/2406.02174 |