Towards automated software architectures design using model Transformations and evolutionary algorithms

Rui Li; Michel R.V. Chaudron; René C. Ladan

doi:10.1145/1830761.1830880

Towards automated software architectures design using model Transformations and evolutionary algorithms

Rui Li, Michel R.V. Chaudron, René C. Ladan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

Abstract

The design of software architecture is one of the large challenges in modern software engineering. It requires software architects to address a large number of non-functional requirements related to performance, safety, availability and cost quality attributes. Moreover, these quality attributes often conflict with each other, for instance, improving system performance often needs more powerful hardware nodes, which increases the production cost and power consumption in the meantime. In this paper, we present the PETUT-MOO tool (Performance-Enhancing Tool using UML Transformations and Multi-objective Optimizations) which can analyze a given software architecture, propose alternatives to it, and do architecture optimization to improve its nonfunctional properties in an automatic way.

Original language	English
Title of host publication	Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication
Pages	2097-2098
Number of pages	2
DOIs	https://doi.org/10.1145/1830761.1830880
Publication status	Published - 2010
Externally published	Yes
Event	2010 Genetic and Evolutionary Computation Conference, GECCO 2010 - Portland, OR, United States Duration: 7 Jul 2010 → 11 Jul 2010 Conference number: 12

Publication series

Name	Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication

Conference

Conference	2010 Genetic and Evolutionary Computation Conference, GECCO 2010
Country/Territory	United States
City	Portland, OR
Period	7/07/10 → 11/07/10

Keywords

Architecture analysis
Architecture optimization
Architecture Transformations

Access to Document

10.1145/1830761.1830880

Cite this

Li, R., Chaudron, M. R. V., & Ladan, R. C. (2010). Towards automated software architectures design using model Transformations and evolutionary algorithms. In Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication (pp. 2097-2098). (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication). https://doi.org/10.1145/1830761.1830880

Li, Rui ; Chaudron, Michel R.V. ; Ladan, René C. / Towards automated software architectures design using model Transformations and evolutionary algorithms. Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. 2010. pp. 2097-2098 (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication).

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abstract = "The design of software architecture is one of the large challenges in modern software engineering. It requires software architects to address a large number of non-functional requirements related to performance, safety, availability and cost quality attributes. Moreover, these quality attributes often conflict with each other, for instance, improving system performance often needs more powerful hardware nodes, which increases the production cost and power consumption in the meantime. In this paper, we present the PETUT-MOO tool (Performance-Enhancing Tool using UML Transformations and Multi-objective Optimizations) which can analyze a given software architecture, propose alternatives to it, and do architecture optimization to improve its nonfunctional properties in an automatic way.",

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author = "Rui Li and Chaudron, {Michel R.V.} and Ladan, {Ren{\'e} C.}",

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pages = "2097--2098",

booktitle = "Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication",

note = "2010 Genetic and Evolutionary Computation Conference, GECCO 2010 ; Conference date: 07-07-2010 Through 11-07-2010",

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Li, R, Chaudron, MRV & Ladan, RC 2010, Towards automated software architectures design using model Transformations and evolutionary algorithms. in Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication, pp. 2097-2098, 2010 Genetic and Evolutionary Computation Conference, GECCO 2010, Portland, OR, United States, 7/07/10. https://doi.org/10.1145/1830761.1830880

Towards automated software architectures design using model Transformations and evolutionary algorithms. / Li, Rui; Chaudron, Michel R.V.; Ladan, René C.

Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. 2010. p. 2097-2098 (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Li R, Chaudron MRV, Ladan RC. Towards automated software architectures design using model Transformations and evolutionary algorithms. In Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication. 2010. p. 2097-2098. (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 - Companion Publication). https://doi.org/10.1145/1830761.1830880

Towards automated software architectures design using model Transformations and evolutionary algorithms

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