Managing variability in software architectures

Bachmann, Felix; Bass, Len

doi:10.1145/375212.375274

Cited by 95 publications

(65 citation statements)

References 2 publications

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“…The case study was conducted in an experimental ismart software factory (iSSF [33]) which is deployed in the Technical University of Madrid (UPM 5 ) and Indra Software Labs 6 . Specifically, the case study was performed within an industrial project on Smart Grids [34] to develop a SPL of a family of power metering management systems.…”

Section: Case Studymentioning

confidence: 99%

“…There has been an exíensive research on supporíing íhe represeníaíion of variabiliíy in feaíure models [25,5,9], PLA models [23,43,6,16,60,1], as well as íhose approaches íhaí propose dedicated variability models [46,7,30]. Based on íhis síaíe-of-íhe-arí, currení SPL írace-abiliíy mechanisms írace íhe exisíing variabiliíy in feaíure models ío variaíions in íhe PLA.…”

Section: Introductionmentioning

confidence: 99%

“…However, exíernal variabiliíy is noí enough ío compleíely define all kinds of variaíions [6] and ío írace íhem from feaíures ío PLA [60]. This happens when variaíions have a lower-granulariíy íhan íhe granulariíy of componenís (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A model for tracing variability from features to product-line architectures: a case study in smart grids

2014

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In current software systems with highly volatile requirements, traceability plays a key role to maintain the consistency between requirements and code. Traceability between artifacts involved in the development of Software Product Lines (SPL) is still more critical because it is necessary to guarantee that the selection of variants that realize the different SPL producís meet the requirements. Current SPL traceability mechanisms trace from variability in features to variations in the configuration of product-line architecture (PLA) in terms of adding and removing components. However, it is not always possible to materialize the variable features of a SPL through adding or removing components, since sometimes they are materialized inside components, i.e. in part of their functionality: a class, a service and/or an interface. Additionally, variations that happen inside components may crosscut several components of architecture. These kinds of variations are still challenging and their traceability is not currently well-supported. Therefore, it is not possible to guarantee that those SPL producís with íhese kinds of variaíions meeí íhe requiremenís. This paper presenís a soluíion for íracing variabiliíy from feaíures ío PLA by íaking íhese kinds of variaíions inío accouní. This soluíion is based on models and íraceabiliíy beíween models in order ío auíomaíe SPL configuration by selecíing íhe varianís and realizing íhe producí applicaíion. The FPLA modeling framework supporís íhis soluíion which has been deployed in a software facíory. Validaíion has consisíed in puííing íhe soluíion inío pracíice ío develop a producí line of power meíering managemení applicaíions for Smarí Grids.

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Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A model for tracing variability from features to product-line architectures: a case study in smart grids

2014

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“…Fundamental characteristics of software variability in software engineering are described in [19]. In particular, software variants exist in software architectures and software product lines [20], [21].…”

Section: Related Workmentioning

confidence: 99%

Guaranteeing Soundness of Configurable Process Variants in Provop

Hallerbach

Bauer

Reichert

2009

2009 IEEE Conference on Commerce and Enterprise Computing

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Usually, for a particular business process a multitude of variants exist. Each of them constitutes an adjustment of a reference process model to specific requirements building the process context. While some progress has been achieved regarding the configuration of process variants, there exists only little work on how to accomplish this in a sound and efficient manner, especially when considering the large number of process variants that exist in practice as well as the many syntactical and semantical constraints they have to obey. In this paper we discuss advanced concepts for the context-and constraint-based configuration of process variants, and show how they can be utilized to ensure soundness of the configured process variants. Enhancing process-aware information systems with the capability to easily configure sound process models, belonging to the same process family and fitting to the given application context, will enable a new quality in engineering processaware information systems.

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“…In an earlier paper [11], we discussed the work of Bachmann and Bass [20] in identifying different sources of variability, such as variation in features and data of applications. Jaring and Bosch [21] have also examined the difference sources of variability and argued that the type of variability depends on dependencies between points of variation.…”

Section: Related Workmentioning

confidence: 99%