A Metrics-Based Evolutionary Approach for the Component Selection Problem

Veșcan, Andreea

doi:10.1109/uksim.2009.32

Cited by 10 publications

(10 citation statements)

References 7 publications

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“…Evolutionary Algorithms (EAs) [18], [33], [37], [38], [41], [57]- [60], [71], [73], [76], [88], [92], [102], [108], [118], [128], [148], [149], [157]- [159], [161], [175], [196], [216], [221], [223], [227]- [229], [231], [237] are some of the most commonly used approximate methods in architecture optimization. EAs are seen as robust algorithms that exhibit approximately similar performance over a wide range of problems [98], hence their popularity in the software engineering domain.…”

Section: Qa Optimization Strategy Type Constraint Handlingmentioning

confidence: 99%

Software Architecture Optimization Methods: A Systematic Literature Review

Aleti

Bühnová

Grunske

et al. 2013

IIEEE Trans. Software Eng.

244

146

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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. 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.

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Section: Qa Optimization Strategy Type Constraint Handlingmentioning

confidence: 99%

Software Architecture Optimization Methods: A Systematic Literature Review

Aleti

Bühnová

Grunske

et al. 2013

IIEEE Trans. Software Eng.

244

146

View full text Add to dashboard Cite

show abstract

“…A Metrics-based Evolutionary Approach for the Component Selection Problem [4] .  Limitation in this study metrics that use for select component three attributes: cost, reusability and functionality.…”

Section: T Wo Evolutionary Multiobjectivementioning

confidence: 99%

“…This question is taken up in this paper to add the problem rev iewers [1][2][3][4][5][6][7][8][9][10] : 'How to identify appropriate components to satisfy users' requirements ?' is considered one of the main problems connected with the component reuse.…”

Section: Problem Statementmentioning

confidence: 99%

A Proposal of Case Based Reasoning System for the Appropriate Selection of Components Using CBD

Alkhamisi¹,

Qureshi²

2013

IJITCS

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Abstract-Software engineering starts to be less lin ked to the development, but at the same time it tends to rely on using the component-based software. The community interested in software engineering has proposed what is called software reuse and offered some ways for co mponent-based software develop ment. The basic difficulty encountered when designing component-based systems is the process of searching for and selecting the appropriate set of the current software co mponents. Select ing a co mponent is considered a hard task in the Component Based Software Engineering (referred to as CBSE), particularly with the augmentation of the number of the component development. Hence, it is hard to select component for CBSE. Different ways and approaches were suggested to solve the problem related to software component selection. Validation of the proposed solution in this paper through collecting a sample of people who answer an electronic survey that composed of 15 questions. An electronic survey target distributed to specialists in software engineering through social sites such as twitter and Facebook also by email them. The result of the validation of the proposed solution proved using a new improvement CBR system to do select the suitable component .

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“…There are several groups of such techniques, where some of them focused on architecture trade-off analysis, quality evaluation model analysis, performance optimization and some others well-known techniques [5,6,7,8,9,10,11,12,13,14,15].…”

Section: Introductionmentioning

confidence: 99%

Multiple Criteria Decision Making for the Structural Organization of Software Architecture

Орлов¹,

Vishnyakov²

2016

csit

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Architectural decisions have a significant impact on the development process as well as on the quality of applied systems. On the other hand, it would be desirable to rely on mature solutions and proven experience when making such decisions. Partially this problem could be solved with the use of architectural patterns. Such solution for the same task can be implemented using different sets of patterns. As a result, there is a problem of choosing and evaluating the software architecture that is build using a number of patterns and that meets the system requirements. In this paper, the technique that allows selecting the optimal software architecture for applied software is proposed. This selection technique is reduced to the criteria importance theory problem. For applying it, we need to pick up a set of metrics that assess the characteristics of the software architecture. Next, we need to determine metrics scale and information about their importance. The results allow us making conclusions about usefulness of the proposed technique during architecture design phase for applied software.

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A Metrics-Based Evolutionary Approach for the Component Selection Problem

Cited by 10 publications

References 7 publications

Software Architecture Optimization Methods: A Systematic Literature Review

Software Architecture Optimization Methods: A Systematic Literature Review

A Proposal of Case Based Reasoning System for the Appropriate Selection of Components Using CBD

Multiple Criteria Decision Making for the Structural Organization of Software Architecture

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