dc.creatorSolís-Martínez, Jaime
dc.creatorGarcía-Menéndez, Natalia
dc.creatorPelayo G-Bustelo, B. Cristina
dc.creatorCueva Lovelle, Juan Manuel
dc.date.accessioned2020-01-14T10:51:32Z
dc.date.accessioned2023-03-07T19:25:41Z
dc.date.available2020-01-14T10:51:32Z
dc.date.available2023-03-07T19:25:41Z
dc.date.created2020-01-14T10:51:32Z
dc.identifier1989-1660
dc.identifierhttps://reunir.unir.net/handle/123456789/9702
dc.identifierhttp://dx.doi.org/10.9781/ijimai.2013.222
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5904065
dc.description.abstractThe requirements engineering phase is the departure point for the development process of any kind of computer application, it determines the functionality needed in the working scenario of the program. Although this is a crucial point in application development, as incorrect requirement definition leads to costly error appearance in later stages of the development process, application domain experts’ implication remains minor. In order to correct this scenario, business process modeling notations were introduced to favor business expert implication in this phase, but notation complexity prevents this participation to reach its ideal state. Hence, we promote the definition of a level oriented business process methodology, which encourages the adaptation of the modeling notation to the modeling and technical knowledge shown by the expert. This approach reduces the complexity found by domain experts and enables them to model their processes completely with a level of technical detail directly proportional to their knowledge.
dc.languageeng
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
dc.relation;vol. 02, nº 02
dc.relationhttps://www.ijimai.org/journal/node/461
dc.rightsopenAccess
dc.subjectbusiness process modeling
dc.subjectBPMN
dc.subjectprocess transformation
dc.subjectcode generation
dc.subjectIJIMAI
dc.titleBPLOM: BPM Level-Oriented Methodology for Incremental Business Process Modeling and Code Generation on Mobile Platforms
dc.typearticle


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