Context-Aware Staged Configuration of Process Variants@Runtime

Murguzur, Aitor; Carlos, Xabier De; Trujillo, Salvador; Sagardui, Goiuria

doi:10.1007/978-3-319-07881-6_17

Cited by 23 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The presented approach is currently being developed on top of the LateVa framework [23] to manage context data variability for context-aware process variability at runtime. Therefore, we still do not have enough evidence of about the e↵ort required during the modeling or even the scalability/performance issued from its adoption.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Context variability modeling for runtime configuration of service-based dynamic software product lines

Murguzur

Capilla

Trujillo

et al. 2014

Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tool

Self Cite

View full text Add to dashboard Cite

In emerging domains such as Cloud-based Industrial Control Systems (ICSs) and SCADA systems where data-intensive and high performance computing are needed, a higher degree of flexibility is being demanded to meet new stakeholder requirements, context changes and intrinsic complexity. In this light, Dynamic Software Product Lines (DSPLs) provide a way to build self-managing systems exploiting traditional product line engineering concepts at runtime. Although context-awareness is widely perceived to be a firstclass concern in such runtime variability mechanisms, existing approaches do not provide the necessary level of formalization to model and enact context variability for DSPLs. This is crucial for operational analytics processes since variant configuration could di↵er from context to context depending on diverse data values linked to context features and cross-tree constraints in a feature model. In this paper, we propose a context variability modeling approach, demonstrate its applicability and usability via a wind farm use case, and present the fundamental building blocks of a framework for enabling context variability in service-based DSPLs which provide Workflow as a Service (WFaaS).

show abstract

Section: Discussionmentioning

confidence: 99%

“…For that purpose, we di↵erentiate three main inputs to model commonality and variability in disjointed models (shown in gray in Figure 4): (i) base models, (ii) fragments, and (iii) variability models respectively. For a more detailed discussion regarding process variability modeling, we refer to our previous work in [23].…”

Section: Process Variabilitymentioning

confidence: 99%

Context variability modeling for runtime configuration of service-based dynamic software product lines

Murguzur

Capilla

Trujillo

et al. 2014

Proceedings of the 18th International Software Product Line Conference: Companion Volume for Workshops, Demonstrations and Tool

Self Cite

View full text Add to dashboard Cite

show abstract

“…They also presented fundamental building blocks of a framework for enabling context variability in service-based DSPLs. Additionally, they presented in [28] a holistic methodology to automatically resolve process variability at run-time. The proposed solution performs a staged configuration considering dynamic context data to accomplish effective decision-making…”

Section: Related Workmentioning

confidence: 99%

Run-time planning of case-based business processes

Sprovieri

Díaz

Mazo

et al. 2016

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

View full text Add to dashboard Cite

Abstract-Context: Organizations act in highly competitive markets, which forces them to be flexible. Constantly changing business requirements require flexible business processes. Case Management Model and Notation (CMMN) supports modeling run-time flexibility of partially structured business process models, but does not fully specify the control flow. Objective: The goal is to develop a planning algorithm that supports the case worker in planning case-based business processes at run-time. Method: We identify the requirements of run-time planning of partly structured processes by analyzing the admission process for the master degree at FHNW. To plan the process instance, we develop a planning algorithm. Our planning algorithm is evaluated using concrete cases provided by FHNW in order to demonstrate real application. Results: The planning algorithm reflects the requirements for serializing tasks at run-time. Conclusion: Our planning algorithm allows to automatically deriving context-specific execution plans for CMMN models at run-time.

show abstract

“…Various techniques are proposed to build reference process models based on configuration [2][3][4] or adaptation [4][5][6]. However, these modeling approaches are not easy to achieve when individual process variants have already been created for different specific purposes independently [7].…”

Section: Introductionmentioning

confidence: 99%

Generating Hierarchical Reference Process Model Using Fragments Clustering

Ling

Zhang

2015

2015 Asia-Pacific Software Engineering Conference (APSEC)

View full text Add to dashboard Cite

Process models are becoming more and more widespread in contemporary organizations. For the purpose of reducing cost and improve model quality, the ability to rapidly tailor a reference process to satisfy the changing of business requirements is necessary for organizations. In this context, how to provide a suitable reference process model for a specific domain becomes a challenging question. This paper proposes a method to automatically generate a hierarchical reference process model using fragments clustering from existing process variants. Similar fragments in process variants are detected and clustered firstly. Then an improved reference sub-process is discovered for each cluster of fragments based on a heuristic search. After fragments are replaced by reference sub-processes hierarchically, the refactored process variants are merged into the final reference process model. The quality and usability of the generated reference model are demonstrated by a case study and user experiment from a real industry scenario.

show abstract

Context-Aware Staged Configuration of Process Variants@Runtime

Cited by 23 publications

References 21 publications

Context variability modeling for runtime configuration of service-based dynamic software product lines

Context variability modeling for runtime configuration of service-based dynamic software product lines

Run-time planning of case-based business processes

Generating Hierarchical Reference Process Model Using Fragments Clustering

Contact Info

Product

Resources

About