Optimal resource allocation and reliability analysis for component-based software applications

Jung Hua Lo; Sen Yen Kuo; Michael R. Lyu; Chin Yu Huang

doi:10.1109/CMPSAC.2002.1044526

Optimal resource allocation and reliability analysis for component-based software applications

Jung Hua Lo
, Sen Yen Kuo
, Michael R. Lyu
, Chin Yu Huang

National Taiwan University

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

48 Scopus citations

Abstract

In this paper we propose an analytical approach for estimating the reliability of a component-based software. This methodology assumes that the software components are heterogeneous and the transfers of control between components follow a discrete time Markov process. Besides, we also formulate and solve two resource allocation problems. Finally, we demonstrate how these analytical approaches can be employed to measure the reliability of a software system including multiple-input/multiple-output systems and distributed software systems. Experimental results show that the proposed methods can solve the testing-effort allocation problems and improve the quality and reliability of a software system.

Original language	English
Article number	3
Pages (from-to)	7-12
Number of pages	6
Journal	Proceedings - IEEE Computer Society's International Computer Software & Applications Conference
DOIs	https://doi.org/10.1109/CMPSAC.2002.1044526
State	Published - 2002
Externally published	Yes

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10.1109/CMPSAC.2002.1044526

Cite this

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title = "Optimal resource allocation and reliability analysis for component-based software applications",

abstract = "In this paper we propose an analytical approach for estimating the reliability of a component-based software. This methodology assumes that the software components are heterogeneous and the transfers of control between components follow a discrete time Markov process. Besides, we also formulate and solve two resource allocation problems. Finally, we demonstrate how these analytical approaches can be employed to measure the reliability of a software system including multiple-input/multiple-output systems and distributed software systems. Experimental results show that the proposed methods can solve the testing-effort allocation problems and improve the quality and reliability of a software system.",

author = "Lo, \{Jung Hua\} and Kuo, \{Sen Yen\} and Lyu, \{Michael R.\} and Huang, \{Chin Yu\}",

year = "2002",

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AU - Huang, Chin Yu

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N2 - In this paper we propose an analytical approach for estimating the reliability of a component-based software. This methodology assumes that the software components are heterogeneous and the transfers of control between components follow a discrete time Markov process. Besides, we also formulate and solve two resource allocation problems. Finally, we demonstrate how these analytical approaches can be employed to measure the reliability of a software system including multiple-input/multiple-output systems and distributed software systems. Experimental results show that the proposed methods can solve the testing-effort allocation problems and improve the quality and reliability of a software system.

AB - In this paper we propose an analytical approach for estimating the reliability of a component-based software. This methodology assumes that the software components are heterogeneous and the transfers of control between components follow a discrete time Markov process. Besides, we also formulate and solve two resource allocation problems. Finally, we demonstrate how these analytical approaches can be employed to measure the reliability of a software system including multiple-input/multiple-output systems and distributed software systems. Experimental results show that the proposed methods can solve the testing-effort allocation problems and improve the quality and reliability of a software system.

UR - https://www.scopus.com/pages/publications/0036391894

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DO - 10.1109/CMPSAC.2002.1044526

M3 - 文章

AN - SCOPUS:0036391894

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JO - Proceedings - IEEE Computer Society's International Computer Software & Applications Conference

JF - Proceedings - IEEE Computer Society's International Computer Software & Applications Conference

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Optimal resource allocation and reliability analysis for component-based software applications

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