About: Learning Units-of-Measure from Scientific Code

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type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #79924 Learning Units-of-Measure from Scientific Code
sameAs	Learning Units-of-Measure from Scientific Code
http://eprints.org/ontology/hasAccepted	Learning Units-of-Measure from Scientific Code (PDF)
http://eprints.org/ontology/hasDocument	Learning Units-of-Measure from Scientific Code (PDF) Learning Units-of-Measure from Scientific Code (Other) Learning Units-of-Measure from Scientific Code (Other) Learning Units-of-Measure from Scientific Code (Other) Learning Units-of-Measure from Scientific Code (Other) Learning Units-of-Measure from Scientific Code (Other)
dc:hasVersion	Learning Units-of-Measure from Scientific Code (PDF)
Title	Learning Units-of-Measure from Scientific Code
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2019-09-05
Creator	Marc Brockschmidt Andrew Rice Miltiadis Allamanis Matthew Danish Dominic A. Orchard
status	peer reviewed published
Publisher	IEEE
abstract	CamFort is our multi-purpose tool for lightweight analysis and verification of scientific Fortran code. One core feature provides units-of-measure verification (dimensional analysis) of programs, where users partially annotate programs with units-of-measure from which our tool checks consistency and infers any missing specifications. However, many users find it onerous to provide units-of-measure information for existing code, even in part. We have noted however that there are often many common patterns and clues about the intended units-of-measure contained within variable names, comments, and surrounding code context. In this work-in-progress paper, we describe how we are adapting our approach, leveraging machine learning techniques to reconstruct units-of-measure information automatically thus saving programmer effort and increasing the likelihood of adoption.
Is Part Of	2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science) https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/79924#authors
presented at	2019 IEEE/ACM 14th International Workshop on Software Engineering for Science (SE4Science)
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #79924 Learning Units-of-Measure from Scientific Code

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