Component-Based Product Line Development: The KobrA Approach

Atkinson, Colin; Bayer, Joachim; Muthig, Dirk

doi:10.1007/978-1-4615-4339-8_16

Cited by 133 publications

(129 citation statements)

References 5 publications

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“…There have been several foundational work on decision models including DOPLER [47], Synthesis [48] and KobrA [9]. Although slightly different in their formalization, the underlying principle behind the decision models is that decisions can both allow for the representation of variability and also most effectively and unambiguously guide the product customization/derivation process.…”

Section: Related Workmentioning

confidence: 99%

“…The work on software product line decision-oriented models [9] deviate from the more traditional feature-oriented approaches [10] where commonalities and variabilities are both captured and represented. Such models view variabilities as decision points; therefore, decision-oriented models representing variability are a formulation of the domain as a decision making plan for product derivation.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic decision models for staged software product line configuration

Bagheri

Ensan

2013

Requirements Eng

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Abstract. Software product line engineering practices offer desirable characteristics such as rapid product development, reduced time-to-market and more affordable development costs as a result of systematic representation of the variabilities of a domain of discourse that leads to methodical reuse of software assets. The development lifecycle of a product line consists of two main phases: domain engineering, which deals with the understanding and formally modeling of the target domain; and application engineering that is concerned with the configuration of a product line into one concrete product based on the preferences and requirements of the stakeholders. The work presented in this paper focuses on the application engineering phase and builds both the theoretical and technological tools to assist the stakeholders in (1) understanding the complex interactions of the features of a product line; (2) eliciting the utility of each feature for the stakeholders and hence exposing the stakeholders' otherwise implicit preferences in a way that they can more easily make decisions; and (3) dynamically building a decision model through interaction with the stakeholders and by considering the structural characteristics of software product line feature models, which will guide the stakeholders through the product configuration process. Initial exploratory empirical experiments that we have performed show that our proposed approach for helping stakeholders understand their feature preferences and its associated staged feature model configuration process is able to positively impact the quality of the end results of the application engineering process within the context of the limited number of participants. In addition, it has been observed that the offered tooling support is able to ease the staged feature model configuration process.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic decision models for staged software product line configuration

Bagheri

Ensan

2013

Requirements Eng

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“…Component-based product line engineering approaches include, for instance, Koala [31], [29] and KobrA [4], [5]. Koala is a component model which is an architecture description language [28], [25].…”

Section: Related Workmentioning

confidence: 99%

Towards Component-based Domain Engineering

Alayed

Lau

Štěpán

et al. 2013

2013 39th Euromicro Conference on Software Engineering and Advanced Applications

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Abstract-Domain engineering is the first phase of product line engineering. The key artefact created by domain engineering for product engineering is a reference architecture for all possible systems or products in the domain. In existing domain engineering techniques, there are no well-defined methods for constructing reference architectures. Existing domain engineering tools mostly stop short of constructing reference architectures. In this paper, we show how a component-based approach to domain engineering can provide a remedy.

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“…et al [30] models the variability of product line artefacts in a separate model where links to the artefact model take the place of annotations. Similarly, decision maps in KobrA [1] define which parts of the product artefacts have to be modified for certain products. In the Koala component model [28], the variability of a component architecture containing all possible components is expressed by component parameterisation that is instantiated depending on the product features.…”

Section: Related Workmentioning

confidence: 99%

Variability Modelling in the ABS Language

Clarke

Muschevici

Proença

et al. 2011

Formal Methods for Components and Objects

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Abstract. The HATS project aims at developing a model-centric methodology for the design, implementation and verification of highly configurable systems, such as software product lines, centred around the Abstract Behavioural Specification (ABS) modelling Language. This article describes the variability modelling features of the ABS Modelling framework. It consists of four languages, namely, µTVL for describing feature models at a high level of abstraction, the Delta Modelling Language DML for describing variability of the 'code' base in terms of delta modules, the Product Line Configuration Language CL for linking feature models and delta modules together and the Product Selection Language PSL for describing a specific product to extract from a product line. Both formal semantics and examples of each language are presented.

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Component-Based Product Line Development: The KobrA Approach

Cited by 133 publications

References 5 publications

Dynamic decision models for staged software product line configuration

Dynamic decision models for staged software product line configuration

Towards Component-based Domain Engineering

Variability Modelling in the ABS Language

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