Managing emerging configuration dependencies in multi product lines

Holl, Gerald; Thaller, Daniel; Grünbacher, Paul; Elsner, Christoph

doi:10.1145/2110147.2110148

Cited by 15 publications

(11 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, we have to take into account that domain engineers do not know the details of the interactions of the major subsystems [9] nor all components included in each one -only the ones relevant to support external interfaces. As an input, we rely on the specifications of each major subsystem and their main components in isolation as well as their existing configurations.…”

Section: Goals and Constraintsmentioning

confidence: 99%

“…Such relationships act as vectors of potential change impact propagation between FMs. However, in [9] Holl et al noted that the knowledge of domain experts about model constraints is likely to be only partial (both intra-FMs or extra-FMs). For this reason, we cannot assume that such relationships will be available as inputs to a change impact analysis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating Feature Change Impact on Multi-product Line Configurations Using Partial Information

Dintzner

Kulesza

Deursen

et al. 2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Evolving large-scale, complex and highly variable systems is known to be a difficult task, where a single change can ripple through various parts of the system with potentially undesirable effects. In the case of product lines, and moreover multi-product lines, a change may affect only certain variants or certain combinations of features, making the evaluation of change effects more difficult. In this paper, we present an approach for computing the impact of a feature change on the existing configurations of a multi-product line, using partial information regarding constraints between feature models. Our approach identifies the configurations that can no longer be derived in each individual feature model taking into account feature change impact propagation across feature models. We demonstrate our approach using an industrial problem and show that correct results can be obtained even with partial information. We also provide the tool we built for this purpose.

show abstract

Section: Goals and Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating Feature Change Impact on Multi-product Line Configurations Using Partial Information

Dintzner

Kulesza

Deursen

et al. 2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…There are different types of such configuration dependencies at different levels of granularity between PLs constituting an MPL [10]. The local registry provides means to create different types of configuration dependencies between PLiBs.…”

Section: Plib Registrymentioning

confidence: 99%

“…If dependencies are defined in PLiB templates, PLiB instances inherit them during instantiation. The local registry also supports changing the type of dependencies based on a list of basic types described in [10].…”

Section: Plib Registrymentioning

confidence: 99%

“…The involved stakeholders thus require an integrated solution covering the full MPL life cycle of domain and application engineering as well as MPL evolution. System architects need tool support for defining the MPL architecture, including the management of dependencies between the PLs [10] that constitute an MPL. Further, modelers need support to share and deploy variability models [24] to the users performing the configuration of the individual PLs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract