Conference Paper

A New Component Selection Algorithm Based on Metrics and Fuzzy Clustering Analysis.

DOI: 10.1007/978-3-642-02319-4_75 Conference: Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings
Source: DBLP

ABSTRACT Component-Based Software Engineering is concerned with the assembly of preexisting software components that lead to software
systems responding to client specific requirements. This paper presents a new algorithm for constructing a software system
by assembling components. The process of selecting a component from a given set takes into account some quality attributes.
Metrics are defined in order to quantify the considered attributes. Using these metrics values, a fuzzy clustering approach
groups similar components in order to select the best candidate. We comparatively evaluate our results with a case study.

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    ABSTRACT: In recent years, Component Based System (CBS) development has found widespread application, particularly in the domain of engineering software where it is often necessary to adapt and integrate existing software tools to handle new problems. The ability to identify suitable components that match system requirements is fundamental to CBS success. To date, CBS selection techniques often make an ideal assumption that there is one-to-one mapping between requirements and components. In reality, components are usually designed for general purposes and provide a range of features that can be adapted to meet the needs of a CBS. This implies that a component can potentially match more than one functionality of a CBS. On the other hand, system requirements are usually not independent of each other and a component selection process needs to consider the dependencies between system goals. Furthermore, the existing component selection methodologies usually provide a single solution for the component selection problem, thus limiting the options available to a CBS developer. In this paper, we present a component selection process that uses a signed graph to model interdependencies of CBS-to-be needs and groups related goals into clusters, based on the usage, non-functional and threat dependencies. Subsequently, the matching index of each cluster of related goals is used as a criterion to identify a portfolio of candidate components for a CBS, providing multiple solutions for the component selection problem whenever possible. The component selection process helps a developer to elicit stakeholder needs, analyze their interdependencies and select components for a CBS. We also present application of our approach to a Meeting Scheduling System (MSS) and a Construction Management System (CMS).
    Advances in Engineering Software. 12/2012; 54:1–16.
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    ABSTRACT: Due to significant industrial demands toward software systems with increasing complexity and challenging quality requirements, software architecture design has become an important development activity and the research domain is rapidly evolving. In the last decades, software architecture optimization methods, which aim to automate the search for an optimal architecture design with respect to a (set of) quality attribute(s), have proliferated. However, the reported results are fragmented over different research communities, multiple system domains, and multiple quality attributes. To integrate the existing research results, we have performed a systematic literature review and analyzed the results of 188 research papers from the different research communities. Based on this survey, a taxonomy has been created which is used to classify the existing research. Furthermore, the systematic analysis of the research literature provided in this review aims to help the research community in consolidating the existing research efforts and deriving a research agenda for future developments.
    IEEE Transactions on Software Engineering 01/2012; 99(PrePrints):1. · 2.59 Impact Factor
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    ABSTRACT: The selection of a component within a set of possible candidates which offer similar functionalities requires the evaluation of the candidate components using objective methods, the evaluation results helping developers in the selection task. In this article we propose a formal approach concerning component based systems (CBS) assessment. More precisely, we aim to define a quantitative evaluation model which provides a standard terminology and formalism in order to define metrics, to establish the assessment objectives and to interpret the measurement results obtained. Furthermore, the proposed model is general and scalable and allows other properties and interactions to be added. The article also presents the applicability of the model.
    Proceedings - 2nd International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2010; 01/2010


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May 19, 2014