Adaptive testing of software components

Kai Yuan Cai; T. Y. Chen; Yong Chao Li; Wei Yi Ning; Y. T. Yu

doi:10.1145/1066677.1067011

Adaptive testing of software components

Kai Yuan Cai
, T. Y. Chen
, Yong Chao Li
, Wei Yi Ning
, Y. T. Yu^*

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Swinburne University of Technology
Beihang University
City University of Hong Kong

Research output: Contribution to conference › Paper › peer-review

16 Scopus citations

Abstract

Software components are popular in nowadays software industries. However, how to test software components is a problem since the source code of the software component under test may not be available for the third-party user. In this paper we show that the software component should be tested in an adaptive manner in the sense that the software defect detection rates are estimated on-line by using testing data collected during testing to improve test case selections. In doing so, we use a recursive least squares estimation method to do on-line parameter estimations. This paper further justifies the advantages of the controlled Markov chain (CMC) approach to software testing in particular, and the practicality of the idea of software cybernetics in general.

Original language	English
Pages	1463-1469
Number of pages	7
DOIs	https://doi.org/10.1145/1066677.1067011
State	Published - 2005
Event	20th Annual ACM Symposium on Applied Computing - Santa Fe, NM, United States Duration: 13 Mar 2005 → 17 Mar 2005

Conference

Conference	20th Annual ACM Symposium on Applied Computing
Country/Territory	United States
City	Santa Fe, NM
Period	13/03/05 → 17/03/05

Keywords

Adaptive testing
Controlled markov chain
Software component
Software cybernetics
Software testing

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10.1145/1066677.1067011

Cite this

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title = "Adaptive testing of software components",

abstract = "Software components are popular in nowadays software industries. However, how to test software components is a problem since the source code of the software component under test may not be available for the third-party user. In this paper we show that the software component should be tested in an adaptive manner in the sense that the software defect detection rates are estimated on-line by using testing data collected during testing to improve test case selections. In doing so, we use a recursive least squares estimation method to do on-line parameter estimations. This paper further justifies the advantages of the controlled Markov chain (CMC) approach to software testing in particular, and the practicality of the idea of software cybernetics in general.",

keywords = "Adaptive testing, Controlled markov chain, Software component, Software cybernetics, Software testing",

author = "Cai, \{Kai Yuan\} and Chen, \{T. Y.\} and Li, \{Yong Chao\} and Ning, \{Wei Yi\} and Yu, \{Y. T.\}",

year = "2005",

doi = "10.1145/1066677.1067011",

language = "英语",

pages = "1463--1469",

note = "20th Annual ACM Symposium on Applied Computing ; Conference date: 13-03-2005 Through 17-03-2005",

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AU - Cai, Kai Yuan

AU - Chen, T. Y.

AU - Li, Yong Chao

AU - Ning, Wei Yi

AU - Yu, Y. T.

PY - 2005

Y1 - 2005

N2 - Software components are popular in nowadays software industries. However, how to test software components is a problem since the source code of the software component under test may not be available for the third-party user. In this paper we show that the software component should be tested in an adaptive manner in the sense that the software defect detection rates are estimated on-line by using testing data collected during testing to improve test case selections. In doing so, we use a recursive least squares estimation method to do on-line parameter estimations. This paper further justifies the advantages of the controlled Markov chain (CMC) approach to software testing in particular, and the practicality of the idea of software cybernetics in general.

AB - Software components are popular in nowadays software industries. However, how to test software components is a problem since the source code of the software component under test may not be available for the third-party user. In this paper we show that the software component should be tested in an adaptive manner in the sense that the software defect detection rates are estimated on-line by using testing data collected during testing to improve test case selections. In doing so, we use a recursive least squares estimation method to do on-line parameter estimations. This paper further justifies the advantages of the controlled Markov chain (CMC) approach to software testing in particular, and the practicality of the idea of software cybernetics in general.

KW - Adaptive testing

KW - Controlled markov chain

KW - Software component

KW - Software cybernetics

KW - Software testing

UR - https://www.scopus.com/pages/publications/33644554130

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DO - 10.1145/1066677.1067011

M3 - 论文

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SP - 1463

EP - 1469

T2 - 20th Annual ACM Symposium on Applied Computing

Y2 - 13 March 2005 through 17 March 2005

ER -

Adaptive testing of software components

Abstract

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Keywords

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