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Campo DCValorIdioma
dc.contributor.authorCouto, Rui-
dc.contributor.authorRibeiro, António Nestor-
dc.contributor.authorCampos, J. Creissac-
dc.date.accessioned2013-12-03T10:22:00Z-
dc.date.available2013-12-03T10:22:00Z-
dc.date.issued2013-
dc.identifier.isbn978-3-642-38208-6-
dc.identifier.isbn978-3-642-38209-3-
dc.identifier.issn0302-9743por
dc.identifier.other0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/26576-
dc.description.abstractDesign patterns provide a means to reuse proven solutions during development, but also to identify good practices during analysis. These are particularly relevant in complex and critical software, such as is the case of ubiquitous and pervasive systems. Model Driven Engineering (MDE) presents a solution for this problem, with the usage of high level models. As part of an effort to develop approaches to the migration of applications to mobile contexts, this paper reports on a tool that identifies design patterns in source code. Code is transformed into both platform specific and independent models, and from these design patterns are inferred. MapIt, the tool which implements these functionalities is described.por
dc.description.sponsorshipThis work was partly funded by ERDF -- European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT -- Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-015095.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsopenAccesspor
dc.subjectDesign patternspor
dc.subjectMDApor
dc.subjectMobilepor
dc.subjectReverse engineeringpor
dc.subjectUbiquitouspor
dc.titleMapIt : a model based pattern recovery toolpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-642-38209-3_2por
sdum.publicationstatuspublishedpor
oaire.citationStartPage19por
oaire.citationEndPage37por
oaire.citationTitleModel-Based Methodologies for Pervasive and Embedded Software. Lecture Notes in Computer Sciencepor
oaire.citationVolume7706por
dc.identifier.doi10.1007/978-3-642-38209-3_2-
sdum.journalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationModel-Based Methodologies for Pervasive and Embedded Software. Lecture Notes in Computer Sciencepor
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