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dc.creatorArévalo Maldonado, Carloses
dc.creatorRamos Román, Isabeles
dc.creatorGutiérrez Rodríguez, Javier Jesúses
dc.creatorCruz Risco, Margaritaes
dc.date.accessioned2021-04-13T09:13:10Z
dc.date.available2021-04-13T09:13:10Z
dc.date.issued2019
dc.identifier.citationArévalo Maldonado, C., Ramos Román, I., Gutiérrez Rodríguez, J.J. y Cruz Risco, M. (2019). Practical Experiences in the Use of Pattern-Recognition Strategies to Transform Software Project Plans into Software Business Processes of Information Technology Companies. Scientific Programming, 2019 (Article ID 7973289)
dc.identifier.issn1058-9244es
dc.identifier.urihttps://hdl.handle.net/11441/107014
dc.description.abstractBusiness process management (BPM) is a strategic advantage for all kinds of organizations, including information technology companies (ITCs), which cannot stay out of the BPM approach. ITCs manage business processes like projects to create and maintain software. Although Project Management Systems (PMSs), such as Microsoft™ Project Server® (MPS®), are considered as non-process-aware information systems (Non-PAISs), they may be a source to generate processes. In this paper, we propose a reverse engineering approach, which uses patterns to transform software projects stored in MPS® legacy databases into software business processes. For this, we base on the model-driven engineering paradigm and deal with the time perspective of the processes. &is kind of experiences are scarce or almost nonexistent, so we show the AQUA-WS project case study, which runs with MPS® as source system and software process modeling languages as target systems. ITCs can benefit from this research by gathering knowledge about perspectives of their processes that would otherwise be wasted, such as executed projects or expired documents used in Non-PAISs. &is fact can become a key factor for ITCs, which can increase their competitiveness and reduce software costs, as part of the BPM lifecycle of continuous improvement.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2016-76956-C3-2-Res
dc.formatapplication/pdfes
dc.format.extent22es
dc.language.isoenges
dc.publisherHindawies
dc.relation.ispartofScientific Programming, 2019 (Article ID 7973289)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titlePractical Experiences in the Use of Pattern-Recognition Strategies to Transform Software Project Plans into Software Business Processes of Information Technology Companieses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2016-76956-C3-2-Res
dc.relation.publisherversionhttps://www.hindawi.com/journals/sp/2019/7973289/es
dc.identifier.doi10.1155/2019/7973289es
dc.contributor.groupUniversidad de Sevilla. TIC021: Ingeniería Web y Testing Tempranoes
dc.journaltitleScientific Programminges
dc.publication.volumen2019es
dc.publication.issueArticle ID 7973289es
dc.identifier.sisius21831256es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes

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