Identifying software component association with genetic algorithm

Xiaowei Yan; Chengqi Zhang; Shichao Zhang

doi:10.1142/S0218194004001695

Identifying software component association with genetic algorithm

Xiaowei Yan
, Chengqi Zhang
, Shichao Zhang

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Identifying software component association is useful for component management and component retrieval. In this paper we design an evolutionary strategy to understand software structure better and identify software component association, by using genetic algorithm. Our mining strategy is effective for global search, especially when the searched space is so large that it is hardly possible to use deterministic search method.

Original language	English
Pages (from-to)	441-447
Number of pages	7
Journal	International Journal of Software Engineering and Knowledge Engineering
Volume	14
Issue number	4
DOIs	https://doi.org/10.1142/S0218194004001695
State	Published - Aug 2004
Externally published	Yes

Keywords

Association data mining
Genetic algorithm
Software component

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10.1142/S0218194004001695

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title = "Identifying software component association with genetic algorithm",

abstract = "Identifying software component association is useful for component management and component retrieval. In this paper we design an evolutionary strategy to understand software structure better and identify software component association, by using genetic algorithm. Our mining strategy is effective for global search, especially when the searched space is so large that it is hardly possible to use deterministic search method.",

keywords = "Association data mining, Genetic algorithm, Software component",

author = "Xiaowei Yan and Chengqi Zhang and Shichao Zhang",

note = "Funding Information: ∗This research is partially supported by the ARC large grant from the Australian Research Council (DP0343109) and partially supported by a grant from the UTS ECRG grants.",

year = "2004",

month = aug,

doi = "10.1142/S0218194004001695",

language = "English",

volume = "14",

pages = "441--447",

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T1 - Identifying software component association with genetic algorithm

AU - Yan, Xiaowei

AU - Zhang, Chengqi

AU - Zhang, Shichao

N1 - Funding Information: ∗This research is partially supported by the ARC large grant from the Australian Research Council (DP0343109) and partially supported by a grant from the UTS ECRG grants.

PY - 2004/8

Y1 - 2004/8

N2 - Identifying software component association is useful for component management and component retrieval. In this paper we design an evolutionary strategy to understand software structure better and identify software component association, by using genetic algorithm. Our mining strategy is effective for global search, especially when the searched space is so large that it is hardly possible to use deterministic search method.

AB - Identifying software component association is useful for component management and component retrieval. In this paper we design an evolutionary strategy to understand software structure better and identify software component association, by using genetic algorithm. Our mining strategy is effective for global search, especially when the searched space is so large that it is hardly possible to use deterministic search method.

KW - Association data mining

KW - Genetic algorithm

KW - Software component

UR - https://www.scopus.com/pages/publications/4644307265

U2 - 10.1142/S0218194004001695

DO - 10.1142/S0218194004001695

M3 - Article

AN - SCOPUS:4644307265

SN - 0218-1940

VL - 14

SP - 441

EP - 447

JO - International Journal of Software Engineering and Knowledge Engineering

JF - International Journal of Software Engineering and Knowledge Engineering

IS - 4

ER -

Identifying software component association with genetic algorithm

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Keywords

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