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Data flow analysis applied to optimize generic workflow problems

dc.contributor.authorMatos, Paulo
dc.contributor.authorHenriques, Pedro Rangel
dc.date.accessioned2010-02-09T21:45:21Z
dc.date.available2010-02-09T21:45:21Z
dc.date.issued2003
dc.description.abstractThe compiler process, the one that transforms a program in a high level language into assembly or binary code, is a much elaborated process that mixes several powerful technologies, some of them developed specifically for this area. Nowadays, compilers are highly developed systems that can analyze and improve quite efficiently the source code, profiting from all the potential of the new processor architectures. This paper introduces a common type of analysis - the Data Flow Analysis – that is used to compute flow-sensitive information about programs, whose results are essential to produce many code optimizations. It is also argued that the problem of analyzing the data flow in software programs has many similarities with the problems found in industrial engineering; planning and management. As consequence, it is possible to apply analysis and optimization techniques used by compilers in these areas.pt
dc.identifier.citationMatos, Paulo; Henriques, Pedro (2003). Data flow analysis applied to optimize generic workflow problems. In International Conference on Industrial Engineering and Production Management. Porto, Portugal.pt
dc.identifier.urihttp://hdl.handle.net/10198/1807
dc.language.isoengpt
dc.subjectData flow analysispt
dc.subjectFlowgraphspt
dc.subjectTechniques for industrial engineeringpt
dc.titleData flow analysis applied to optimize generic workflow problemspt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePorto, Portugalpt
oaire.citation.titleProceedings of the International Conference on Industrial Engineering and Production Managementpt
person.familyNameMatos
person.givenNamePaulo
person.identifierR-002-2BA
person.identifier.ciencia-idDD15-B2BC-3908
person.identifier.orcid0000-0003-0010-4777
person.identifier.ridI-5726-2018
person.identifier.scopus-author-id57193342842
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublication1cb6522c-6039-44d0-a14e-70f65930ef92
relation.isAuthorOfPublication.latestForDiscovery1cb6522c-6039-44d0-a14e-70f65930ef92

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