Software Architecture Optimization Methods: A Systematic
Literature Review

J 2013

Software Architecture Optimization Methods: A Systematic Literature Review

ALETI, Aldeida; Barbora BÜHNOVÁ; Lars GRUNSKE; Anne KOZIOLEK; Indika MEEDENIYA et. al.

Základní údaje

Originální název

Software Architecture Optimization Methods: A Systematic Literature Review

Autoři

ALETI, Aldeida (8 Albánie); Barbora BÜHNOVÁ (203 Česká republika, garant, domácí); Lars GRUNSKE (276 Německo); Anne KOZIOLEK (276 Německo) a Indika MEEDENIYA (144 Šrí Lanka)

Vydání

IEEE transactions on software engineering, New York, IEEE Computer Society, 2013, 0098-5589

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Article URL

Impakt faktor

Impact factor: 2.292

Kód RIV

RIV/00216224:14330/13:00067514

Organizační jednotka

Fakulta informatiky

DOI

https://doi.org/10.1109/TSE.2012.64

UT WoS

000318642300005

Klíčová slova anglicky

Software architecture optimization; optimization methods; systematic literature review

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 29. 4. 2014 08:45, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

LG13010, projekt VaV

Název: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Akronym: ERCIM-CZ)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Zastoupení ČR v European Research Consortium for Informatics and Mathematics

Citovat

ALETI, Aldeida; Barbora BÜHNOVÁ; Lars GRUNSKE; Anne KOZIOLEK a Indika MEEDENIYA. Software Architecture Optimization Methods: A Systematic Literature Review. IEEE transactions on software engineering. New York: IEEE Computer Society, 2013, roč. 5, č. 39, s. 658-683. ISSN 0098-5589. Dostupné z: https://doi.org/10.1109/TSE.2012.64.

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   author = {Aleti, Aldeida and Bühnová, Barbora and Grunske, Lars and Koziolek, Anne and Meedeniya, Indika},
   article_location = {New York},
   article_number = {39},
   doi = {https://doi.org/10.1109/TSE.2012.64},
   keywords = {Software architecture optimization; optimization methods; systematic literature review},
   language = {eng},
   issn = {0098-5589},
   journal = {IEEE transactions on software engineering},
   title = {Software Architecture Optimization Methods: A Systematic Literature Review},
   url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6311410},
   volume = {5},
   year = {2013}
}

TY  - JOUR
ID  - 1071789
AU  - Aleti, Aldeida - Bühnová, Barbora - Grunske, Lars - Koziolek, Anne - Meedeniya, Indika
PY  - 2013
TI  - Software Architecture Optimization Methods: A Systematic Literature Review
JF  - IEEE transactions on software engineering
VL  - 5
IS  - 39
SP  - 658-683
EP  - 658-683
PB  - IEEE Computer Society
SN  - 00985589
KW  - Software architecture optimization
KW  - optimization methods
KW  - systematic literature review
UR  - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6311410
N2  - 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.
ER  -

ALETI, Aldeida; Barbora BÜHNOVÁ; Lars GRUNSKE; Anne KOZIOLEK a Indika MEEDENIYA. Software Architecture Optimization Methods: A Systematic Literature Review. \textit{IEEE transactions on software engineering}. New York: IEEE Computer Society, 2013, roč.~5, č.~39, s.~658-683. ISSN~0098-5589. Dostupné z: https://doi.org/10.1109/TSE.2012.64.

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