Configurable Process Models for the Swedish Public Sector

Lönn, Carl-Mikael; Uppström, Elin; Wohed, Petia; Juell-Skielse, Gustaf

doi:10.1007/978-3-642-31095-9_13

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…No explicit support exists for handling different versions of a configurable process model or propagating model changes to process variants (F5.1 [-], F5.2 [-]). In addition, the C-EPC approach has been empirically evaluated in a case study [77]. Finally, C-EPC has been applied to business processes from different domains (e.g., e-government and film production).…”

Section: Configuration Requirementmentioning

confidence: 99%

VIVACE: A framework for the systematic evaluation of variability support in process-aware information systems

Ayora

Torres

Weber

et al. 2015

Information and Software Technology

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Context: The increasing adoption of process-aware information systems (PAISs) such as workflow management systems, enterprise resource planning systems, or case management systems, together with the high variability in business processes (e.g., sales processes may vary depending on the respective products and countries), has resulted in large industrial process model repositories. To cope with this business process variability, the proper management of process variants along the entire process lifecycle becomes crucial. Objective: The goal of this paper is to develop a fundamental understanding of business process variability. In particular, the paper will provide a framework for assessing and comparing process variability approaches and the support they provide for the different phases of the business process life- cycle (i.e., process analysis and design, configuration, enactment, diagnosis, and evolution). Method: We conducted a systematic literature review (SLR) in order to discover how process variability is supported by existing approaches.Results: The SLR resulted in 63 primary studies which were deeply analyzed.Based on this analysis, we derived the VIVACE framework. VIVACE allows assessing the expressiveness of a process modeling language regarding the explicit specification of process variability. Furthermore, the support provided by a process-aware information system to properly deal with process model variants can be assessed with VIVACE as well.Conclusions: VIVACE provides an empirically-grounded framework for process engineers that enables them to evaluate existing process variability approaches as well as to select that variability approach meeting their requirements best. Finally, it helps process engineers in implementing PAISs supporting process variability along the entire process lifecycle.

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Section: Configuration Requirementmentioning

confidence: 99%

VIVACE: A framework for the systematic evaluation of variability support in process-aware information systems

Ayora

Torres

Weber

et al. 2015

Information and Software Technology

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“…The need of introducing BP variability in PA domain is also discussed [18] [19]. Differently from our work they do not consider the variability at the level of organization structure and they assume to have a fully structured control flow at the level of configurable BP model that as said can not be always easily defined.…”

Section: Related Workmentioning

confidence: 95%

Process Variability Modeling for Complex Organizations

Cognini

Corradini

Polini

et al. 2015

2015 International Conference on Enterprise Systems (ES)

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When organizations provide similar services and share the same mission they often behave similarly. This, in particular, is true in the context of Public Administration where different offices organize the provisioning of services to citizens in similar ways. This paper presents a novel notation and approach to support variability modeling for those scenarios in which it is difficult to fully foresee in advance how variability can affect the various process perspectives. Notation and approach are inspired on feature modeling where features are used to represents activities of a processes family that can be differently implemented. Applying the proposed approach it is possible to derive a kind of partially predefined process model variant, which is a set of fragments, that in a subsequent step needs to be augmented with additional elements to then fully define process behavior. Notation and approach has been validated on real case studies with encouraging results

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“…Empirical evaluations of process variability approaches have also been conducted [10]. Case studies are the most frequent method and have been conducted in different domains such as egovernment [24], logistic [32], risk management [48], and retail [38]. To the best of our knowledge, the case study conducted in this work is the largest one in the context of process variability.…”

Section: Related Workmentioning

confidence: 99%

Variability management in process families through change patterns

Ayora

Torres

Pelechano

2016

Information and Software Technology

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ElsevierAyora Esteras, C.; Torres Bosch, MV.; De La Vara González, JL.; Pelechano Ferragud, V. (2016). Variability management in process families through change patterns. Information and Software Technology. 74:86-104. AbstractContext: The increasing adoption of process-aware information systems together with the high variability in business processes has resulted in collections of process families. These families correspond to a business process model and its variants, which can comprise hundreds or thousands of different ways of realizing this process. Managing process variability in this context can be very challenging, labor-intensive, and error-prone, and new approaches for managing process families are necessary. Objective: We aim to facilitate variability management in process families, ensure process family correctness, and reduce the effort needed for such purposes. Method: We have derived a set of change patterns for process families from variability-specific language constructs identified in the literature. For validation, we have conducted a case study with a safety standard in which we have measured the number of operations needed to model and evolve the variability of the standard with and without the patterns. Results: We present 10 change patterns for managing variability in process families and show how they can be implemented. The patterns support the Email addresses: cayora@pros.upv.es (Clara Ayora ), vtorres@pros.upv.es (Victoria Torres), jvara@inf.uc3m.es (Jose Luis de la Vara), pele@pros.upv.es (Vicente Pelechano) 1 Corresponding author.modeling and evolution of process families and ensure process family correctness by automatically introducing and deleting modeling elements. The case study results show that the application of the defined change patterns can reduce the number of operations when modeling a process family by 34% and when evolving it by 40%.Conclusions: The application of the change patterns can help in effectively modeling and evolving large and highly-variable process families. Their application can also considerably reduce variability management effort.

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Configurable Process Models for the Swedish Public Sector

Cited by 8 publications

References 17 publications

VIVACE: A framework for the systematic evaluation of variability support in process-aware information systems

VIVACE: A framework for the systematic evaluation of variability support in process-aware information systems

Process Variability Modeling for Complex Organizations

Variability management in process families through change patterns

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