Towards a formal definition of goal‐oriented business process patterns

Andersson, Birger; Bider, Ilia; Johannesson, Paul; Perjons, Erik

doi:10.1108/14637150510630846

Cited by 40 publications

(21 citation statements)

References 9 publications

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“…Some works focus on modelling the as-is system (reverse engineering). For instance, [15] proposes a goal elicitation method to deepen the understanding of current processes. The authors conclude that a suitable semantics and representation to relate goal and business process models is needed, which is a motivation for our proposal.…”

Section: Related Workmentioning

confidence: 99%

Integrating the Goal and Business Process Perspectives in Information System Analysis

Ruiz

Costal

España

et al. 2014

Advanced Information Systems Engineering

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Abstract. There are several motivations to promote investment and scientific effort in the integration of intentional and operational perspectives: organisational reengineering, continuous improvement of business processes, alignment among complementary analysis perspectives, information traceability, etc. In this paper we propose the integration of two modelling languages that support the creation of goal and business process models: the i* goal-oriented modelling method and Communication Analysis, a communication-oriented business process modelling method. We describe the methodological integration of the two modelling methods with the aim of fulfilling several criteria: i) to rely on appropriate theories; ii) to provide abstract and concrete syntaxes; iii) to provide scenarios of application; and iv) to develop tool support. We provide guidelines for using the two modelling methods in a top-down analysis scenario. We also present an illustrative case that demonstrates the feasibility of the approach.Keywords: modelling language, requirements engineering, goal modelling, business process modelling, ontological analysis, metamodel integration IntroductionOrganisations are aware of the importance of evolving to keep pace with changes in the market, technology, environment, law, etc.[1]. As a result, continuous improvement and reengineering have become common practices in information system engineering. Understanding organisations and their needs for change often requires several interrelated perspectives [2][3]. The information system engineering community has contributed a number of modelling languages that are typically oriented towards a specific perspective, requiring approaches to their integration [4]. In this paper, we focus on extending a business process perspective with intentional aspects of organisations. Business process modelling languages provide primitives to specify work practice (i.e. activities, temporal constraints and resources). Despite being widely accepted that processes are means to achieve organisational goals [5], process models give little attention to the strategic dimension [6]. The analysis, prioritization and selection of organisational strategies are the scope of intentional modelling languages, which focus on the business roles, their goals and their relationships. This is a pre-print draft of the following article published by Springer (who holds the copyright): M. Ruiz, D. Costal, S. España, X. Franch, and Ó. Pastor, "Integrating the goal and business process perspectives in information system analysis," presented at the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014), Thessaloniki, Greece, 2014.Business processes and goals are intrinsically interdependent [7] and several works provide detailed arguments in favour of combining both perspectives: (i) An integrated approach allows understanding the motivation for processes [6]. (ii) In the opposite direction, goals may be used to guide process design [8]. (iii) Traceability is enhanced, whi...

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Section: Related Workmentioning

confidence: 99%

Integrating the Goal and Business Process Perspectives in Information System Analysis

Ruiz

Costal

España

et al. 2014

Advanced Information Systems Engineering

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“…This follows trends to focus on structured objects and documents as the central entities of processing, as proposed by ebXML and other business standards. -Goals are declaratively specified, expressing the requested result of processed objects [16]. Essentially, the aim is to allow users and providers to refer to them declaratively, e.g.…”

Section: Coordination Request Specification and Compositionmentioning

confidence: 99%

Ontology-Based Composition and Matching for Dynamic Service Coordination

Pahl

Gacitua-Decar

Wang

et al. 2011

Lecture Notes in Business Information Processing

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Service engineering needs to address integration problems allowing services to collaborate and coordinate. The need to address dynamic automated changes -caused by on-demand environments and changing requirements -can be addressed through service coordination based on ontology-based composition and matching techniques. Our solution to composition and matching utilises a service coordination space that acts as a passive infrastructure for collaboration. We discuss the information models and the coordination principles of such a collaboration environment in terms of an ontology and its underlying description logics. We provide ontology-based solutions for structural composition of descriptions and matching between requested and provided services.

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“…For instance, Andersson et al, (Andersson, Bider et al 2005) propose a goal elicitation method to deepen the understanding of current processes. The authors conclude that a suitable semantic and representation to relate goal and business process models is needed.…”

Section: Goal---driven Requirements Engineeringmentioning

confidence: 99%

TraceME: A Traceability-Based Method for Conceptual Model Evolution

Ruiz¹

2018

Lecture Notes in Business Information Processing

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Towards a formal definition of goal‐oriented business process patterns

Cited by 40 publications

References 9 publications

Integrating the Goal and Business Process Perspectives in Information System Analysis

Integrating the Goal and Business Process Perspectives in Information System Analysis

Ontology-Based Composition and Matching for Dynamic Service Coordination

TraceME: A Traceability-Based Method for Conceptual Model Evolution

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