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2017 | Supplement | Buchkapitel

A Model-Driven Proposal to Execute and Orchestrate Processes: PLM4BS

verfasst von : Julián Alberto Garcia-Garcia, Ayman Meidan, Antonio Vázquez Carreño, Manuel Mejias Risoto

Erschienen in: Software Process Improvement and Capability Determination

Verlag: Springer International Publishing

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Abstract

Business Processes Management (BPM) is a widely consolidated business strategy to improve and optimize the internal operation of any company. However, BPM is not usually simple to apply in software organizations because Software Processes (SPs) involve high degree of creativity, abstraction and rework, among other aspects. This situation provokes that these companies usually focus on modeling their processes but later, the orchestration and execution are manually and/or unilaterally performed by each involved role. This situation makes each SP difficult to maintain, monitor, evolve and measure. At present, there are model-based proposals to model SPs, but most of them fail to define the execution context of the process. This paper presents PLM4BS, a model-driven framework to support modeling, execution and orchestration of SPs. It has been successfully validated in different real environments, what has returned us valuable feedback to improve PLM4BS in the near future.

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Vorheriges Kapitel A Formalization of the ISO/IEC 15504: Enabling Automatic Inference of Capability Levels
Nächstes Kapitel An Axiom Based Metamodel for Software Process Formalisation: An Ontology Approach
Fußnoten
1
The process orchestration is understood in this paper as the centralized coordination of events that allows conditioning the evolution and execution of process flow.
 
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Metadaten
Titel
A Model-Driven Proposal to Execute and Orchestrate Processes: PLM4BS
verfasst von
Julián Alberto Garcia-Garcia
Ayman Meidan
Antonio Vázquez Carreño
Manuel Mejias Risoto
Copyright-Jahr
2017
Buch
Software Process Improvement and Capability Determination

Print ISBN: 978-3-319-67382-0

Electronic ISBN: 978-3-319-67383-7

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-67383-7_16

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