A Process-Centric Approach for Coordinating Product Configuration Decisions

Mendonça, Marcílio; Cowan, Donald; Oliveira, Toacy C.

doi:10.1109/hicss.2007.27

Cited by 20 publications

(24 citation statements)

References 11 publications

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“…In order to support customers in customizing application templates, corresponding tooling needs to be supplied. In [10] the idea of mapping feature trees of product lines to process models modelled in BPMN which can later be mapped to BPEL is sketched. We go one step further than this idea and propose the direct generation of a process model out of the variability descriptor which we call the customization process.…”

Section: Transformation Of Variability Descriptors Into a Process Modelmentioning

confidence: 99%

Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors

Mietzner

Leymann

2008

2008 IEEE International Conference on Services Computing

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Software as a Service (SaaS) is a new delivery model for software. Software in a SaaS model is no longer run exclusively for one customer at a customer's premise but run at a service provider and accessed via the Internet. A provider of Software as a Service exploits economies of scale by hosting and providing the same application for several different customers. However, each individual customer has different requirements for the same basic application. In order to allow each customer to customize the process layer and related artifacts of a SaaS application to their specific needs the application needs to provide a set of variability points that can be modified by customers. In this paper we describe the notion of a variability descriptor that defines variability points for the process layer and related artifacts of process-based, service-oriented SaaS applications. Furthermore we describe how these variability descriptors can be transformed into a WS-BPEL process model that can then be used to guide a customer through the customization of the SaaS application.

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Section: Transformation Of Variability Descriptors Into a Process Modelmentioning

confidence: 99%

Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors

Mietzner

Leymann

2008

2008 IEEE International Conference on Services Computing

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“…Later stages, such as development and installation, are closely related to the actual code base of SmartHome, which has not been developed by the author. Finally, the fact that the stages are derived from industrial experience is a common practice in staged configuration research (e.g., [8,18,7,14,5,3], cf. Section 8).…”

Section: Discussionmentioning

confidence: 99%

“…Mendonca at al. [18] extend basic feature modeling with decision sets, which partition the features of a feature model. According to priorities attached to each decision set, and to the configuration constraints defined in the feature model, a partial order is calculated for the decision sets.…”

Section: Related Workmentioning

confidence: 99%

Light-weight tool support for staged product derivation

Elsner

2012

Proceedings of the 16th International Software Product Line Conference - Volume 1

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Tool support that checks for configuration errors and generates product parts from configurations can significantly improve on product derivation in product line engineering. Up to now, however, derivation tools commonly disregard the staged derivation process. They do not restrict configuration consistency checks to process entities such as configuration stages, stakeholders, or build tasks. As a result, constraints that are only valid for certain process entities must either be checked permanently, leading to false positive errors, or one must refrain from defining them at all. This paper contributes a light-weight approach to provide tailored tool support for staged product derivation. Compared to previous approaches, it is not tied to a single configuration mechanism (e.g., feature modeling), and also accounts for the stakeholders involved and the build tasks that generate product parts. First, the product line engineer describes the derivation process in a concise model. Then, based on constraint checks on the configuration (e.g., a feature model configuration) that are linked to the modeled entities, comprehensive tool support can be provided: Configuration actions can be guided and restricted depending on the configuring stakeholder in a fine-grained manner, and constraints attached to a build task will only be checked if it actually shall be executed. Finally, in combination with previous work, the paper provides evidence that the approach is applicable to legacy product lines in a light-weight manner and that it technically scales to thousands of constraint checks.

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“…Our approach in contrast does not provide a dedicated order of configuration sub-tasks. Mendonca et al [16] propose a collaborative product configuration approach that aims at supporting product derivation with multiple stakeholders involved. We also support collaborative configuration, as the involved product line instances can be shared among the configurers.…”

Section: Related Workmentioning

confidence: 99%

“…However, current approaches lack support for defining MPLs and for sharing the models defining them among these stakeholders [6]. For instance, variability modeling and product derivation tasks of multiple stakeholders contributing to an MPL must be supported [16]. The involved stakeholders thus require an integrated solution covering the full MPL life cycle of domain and application engineering as well as MPL evolution.…”

Section: Introductionmentioning

confidence: 99%

An infrastructure for the life cycle management of multi product lines

Holl

Elsner

Grünbacher

et al. 2013

Proceedings of the 28th Annual ACM Symposium on Applied Computing

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Large-scale industrial systems comprise multiple heterogeneous systems that need to be adapted and configured individually to meet the customers' needs. Product line techniques such as variability modeling and product derivation are frequently used to enable such customization. However, managing the life cycle of multiple product lines in systemof-systems architectures is challenging. For instance, support is lacking for defining the architecture of multi product lines. Further, system architects, modelers and configurers are missing a common infrastructure supporting domain and application engineering. This paper contributes a tool infrastructure providing essential structures and facilities for the development and operation of multi product lines. Based on an analysis of industrial scenarios we developed support for managing the life cycle of multi product lines. This comprises architecture definition and support for sharing and deploying product line models to the involved stakeholders. In this paper we show how the infrastructure supports system architects performing life cycle management of multi product lines. We demonstrate the feasibility of the approach based on a real-world industrial system.

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A Process-Centric Approach for Coordinating Product Configuration Decisions

Cited by 20 publications

References 11 publications

Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors

Generation of BPEL Customization Processes for SaaS Applications from Variability Descriptors

Light-weight tool support for staged product derivation

An infrastructure for the life cycle management of multi product lines

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