First class feature abstractions for product derivation

Jansen, Anton; Smedinga, Rein; Gurp, Jilles van; Bosch, Jan

doi:10.1049/ip-sen:20040922

Cited by 15 publications

(8 citation statements)

References 21 publications

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“…Some of these approaches use role models to represent the interfaces and interactions needed to cover certain functionality independently (a feature or a set of features). The most representative are [6,21], but similar approaches have appeared in the OO field, for example [5,20]. We build on this correlation using agent-based role models at the acquaintance organization to represent features independently.…”

Section: Software Product Linesmentioning

confidence: 99%

Building the Core Architecture of a NASA Multiagent System Product Line

Peña

Hinchey

Ruiz–Cortés

et al.

Lecture Notes in Computer Science

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The field of Software Product Lines (SPL) emphasizes build- ing a family of software products from which concrete products can be derived rapidly. This helps to reduce time-to-market, costs, etc., and can result in improved software quality and safety. Current Agent-Oriented Software Engineering (AOSE) methodologies are concerned with devel- oping a single Multiagent System. The main contribution of this paper is a proposal to developing the core architecture of a Multiagent Systems Product Line (MAS-PL), exemplifying our approach with reference to a concept NASA mission based on multiagent technology

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Section: Software Product Linesmentioning

confidence: 99%

Building the Core Architecture of a NASA Multiagent System Product Line

Peña

Hinchey

Ruiz–Cortés

et al.

Lecture Notes in Computer Science

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“…A central task of this paradigm is thus to model the SPL variability, i.e., what is common, what varies between the different software systems, and how it varies. Variability representations are used, among others, for knowledge representation [15], to define the scope of the product line [16], manage its evolution and maintenance [7], to perform design operations [17,18] or for product derivation [19].…”

Section: Software Product Lines Engineeringmentioning

confidence: 99%

FCA for software product line representation: Mixing configuration and feature relationships in a unique canonical representation

Carbonnel¹,

Bertet

Huchard³

et al. 2020

Discrete Applied Mathematics

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Software Product Line Engineering (SPLE) is a set of methods to help build a collection of software systems which are similar enough to enable appropriate artefact reuse. An important task consists in documenting in variability models the common and variable features which may compose the similar software systems along with compatibility constraints between these features. Several models and formalisms have been proposed to model variability: each one of them has specific properties making it pertinent to support certain management operations, which are of primary importance in SPLE. Switching from one kind of variability model to another is thus important to benefit from a wide range of operations and efficiently manage a software product line. In this paper, we review the various approaches proposed to manage and organise features and product configurations (a product configuration being a chosen subset of features). We discuss the originality of concept lattices, canonical structures presenting a dual view on features and configurations, and the advantages to use these structures as variability representations. Switching from existing variability models to an equivalent concept lattice raises scaling issues related to the size of the needed input dataset and thus hinders their exploitation. We propose an alternative relying on implicative systems and define a transformation method which does not suffer from scaling issues.

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“…The concept of role here is similar to the responsibility in [12] and the role in [9]. Compared with features, roles reserve the knowledge of features as well as endow features with the implementation aspects, so it can support the mapping from features to program artefacts in a more natural way [19].…”

Section: Fig 2 Meta-model Of the Role Modelmentioning

confidence: 99%

Towards Feature-Oriented Variability Reconfiguration in Dynamic Software Product Lines

Shen

Peng

Liu

et al. 2011

Lecture Notes in Computer Science

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Abstract. Dynamic Software Product Line (DSPL) provides a new paradigm for developing self-adaptive systems with the principles of software product line engineering. DSPL emphasizes variability analysis and design at development time and variability binding and reconfiguration at runtime, thus requires some kinds of variability mechanisms to map high-level variations (usually represented by features) to low-level implementation and support runtime reconfiguration. Existing work on DSPL usually assumes that variation features can be directly mapped to coarse-grained elements like services, components or plug-ins, making the methods hard to be applied for traditional software systems. In this paper, we propose a feature-oriented method to support runtime variability reconfiguration in DSPLs. The method introduces the concept of role model, an intermediate level between feature variations and implementations to improve their traceability. On the other hand, the method involves a reference implementation framework based on dynamic aspect mechanisms to implement the runtime reconfiguration. We illustrate the process of applying the proposed method with a concrete case study, which helps to validate the effectiveness of our method.

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First class feature abstractions for product derivation

Cited by 15 publications

References 21 publications

Building the Core Architecture of a NASA Multiagent System Product Line

Building the Core Architecture of a NASA Multiagent System Product Line

FCA for software product line representation: Mixing configuration and feature relationships in a unique canonical representation

Towards Feature-Oriented Variability Reconfiguration in Dynamic Software Product Lines

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