Scenario-Based Genetic Synthesis of Software Architecture

Räihä, Outi; Koskimies, Kai; Mäkinen, Erkki

doi:10.1109/icsea.2009.70

Cited by 9 publications

(3 citation statements)

References 9 publications

(14 reference statements)

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“…As a result, we have obtained four the following vector estimates: y1 = (1,6,8,7,8,8,7,8,9,8,7,6,8,7), (15) y2 = (2,7,6,6,7,7,8,6,7,7,7,7,6,7), (16) y3 = (3,6,5,7,5,4,8,5,6,5,5,7,6,8), (17) y4 = (4,6,7,5,9,5,5,7,8,…”

Section: Preference Relationsmentioning

confidence: 99%

“…y N 3 = (3,3,3,3,6,6,5,5,7,5,4,8,5,6,5,5,7,6,8), (25) y N 4 = (4,4,4,4,6,6,7,7,5,9,5,5,7,8,7,6,5,7,7).…”

Section: Obtaining Values Of the Metricsmentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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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Section: Preference Relationsmentioning

confidence: 99%

“…y N 3 = (3,3,3,3,6,6,5,5,7,5,4,8,5,6,5,5,7,6,8), (25) y N 4 = (4,4,4,4,6,6,7,7,5,9,5,5,7,8,7,6,5,7,7).…”

Section: Obtaining Values Of the Metricsmentioning

confidence: 99%

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Multiple Criteria Decision Making for the Structural Organization of Software Architecture

Орлов¹,

Vishnyakov²

2016

csit

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Synthesizing Architecture from Requirements: A Genetic Approach

Räihä

Kundi

Koskimies

et al. 2011

Relating Software Requirements and Architectures

Self Cite

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The generation of software architecture using genetic algorithms is studied with architectural styles and patterns as mutations. The main input for the genetic algorithm is a rudimentary architecture representing the functional decomposition of the system, obtained as a refinement of use cases. Using a fitness function tuned for desired weights of simplicity, efficiency and modifiability, the technique produces a proposal for the software architecture of the target system, with applications of architectural styles and patterns. The quality of the produced architectures is studied empirically by comparing these architectures with the ones produced by undergraduate students.

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Improving the structural quality of UML class diagrams with the genetic algorithm

Deryugina¹

2016

ITM Web of Conferences

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Abstract. The problem of improving the structural quality of UML class diagrams can be formulated as an optimization problem. The Genetic algorithm is concerned to be able to solve such problems. This paper focuses on the ways in which the Genetic algorithm can be applied to the problem of improving structural quality of UML class diagrams. It develops the theme of semantically equivalent transformations of UML class diagrams during the evolutionary search. This paper suggests the structural semantics of the UML class diagrams. It also formulates the problem of improving the structural quality of a UML class diagram during the evolutionary search and proposes a solution of the problem based on the Genetic algorithm. The paper presents the results of the computational experiment aimed at improving of the structural quality of the UML class diagram with the help of the Genetic algorithm and identifies issues for future work.

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Scenario-Based Genetic Synthesis of Software Architecture

Cited by 9 publications

References 9 publications

Multiple Criteria Decision Making for the Structural Organization of Software Architecture

Multiple Criteria Decision Making for the Structural Organization of Software Architecture

Synthesizing Architecture from Requirements: A Genetic Approach

Improving the structural quality of UML class diagrams with the genetic algorithm

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