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

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

@inproceedings{c24e693895b44afd93fb9c1b45cb0a24,

title = "Towards automated software architectures design using model Transformations and evolutionary algorithms",

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.",

keywords = "Architecture analysis, Architecture optimization, Architecture Transformations",

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

year = "2010",

doi = "10.1145/1830761.1830880",

language = "English",

isbn = "9781450300735",

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",

}

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. 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.

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

TY - GEN

T1 - Towards automated software architectures design using model Transformations and evolutionary algorithms

AU - Li, Rui

AU - Chaudron, Michel R.V.

AU - Ladan, René C.

N1 - Conference code: 12

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Architecture analysis

KW - Architecture optimization

KW - Architecture Transformations

UR - http://www.scopus.com/inward/record.url?scp=77955967897&partnerID=8YFLogxK

U2 - 10.1145/1830761.1830880

DO - 10.1145/1830761.1830880

M3 - Conference contribution

AN - SCOPUS:77955967897

SN - 9781450300735

SP - 2097

EP - 2098

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

T2 - 2010 Genetic and Evolutionary Computation Conference, GECCO 2010

Y2 - 7 July 2010 through 11 July 2010

ER -

Towards automated software architectures design using model Transformations and evolutionary algorithms

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this