Adaptive combinatorial testing

Changhai Nie; Hareton Leung; Kai Yuan Cai

doi:10.1109/QSIC.2013.22

Adaptive combinatorial testing

Changhai Nie
, Hareton Leung
, Kai Yuan Cai

School of Automation Science and Electrical Engineering

Nanjing University
Hong Kong Polytechnic University

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

16 Scopus citations

Abstract

Combinatorial Testing (CT) has been proven to be effective in detecting and locating the interaction triggered failure in the last 20 years. But CT still suffers from many challenges, such as modeling for CT, sampling mechanisms for test generation, applicability and effectiveness. To overcome these issues of CT, adaptive combinatorial testing (ACT) is proposed in this paper, which improves the traditional CT with a well established adaptive testing method as the counter part of adaptive control and aims to make CT more flexible and practical. ACT can significantly enhance testing quality, software reliability and support testing strategy adjustment dynamically. To support further investigation, a preliminary form of concrete strategy for ACT is given as a heuristic guideline.

Original language	English
Pages	284-287
Number of pages	4
DOIs	https://doi.org/10.1109/QSIC.2013.22
State	Published - 2013
Event	13th International Conference on Quality Software, QSIC 2013 - Nanjing, Jiangsu, China Duration: 29 Jul 2013 → 30 Jul 2013

Conference

Conference	13th International Conference on Quality Software, QSIC 2013
Country/Territory	China
City	Nanjing, Jiangsu
Period	29/07/13 → 30/07/13

Keywords

Adaptive Combinatorial Testing
Adaptive Testing
Combinatorial Testing
Software Testing

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10.1109/QSIC.2013.22

Cite this

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abstract = "Combinatorial Testing (CT) has been proven to be effective in detecting and locating the interaction triggered failure in the last 20 years. But CT still suffers from many challenges, such as modeling for CT, sampling mechanisms for test generation, applicability and effectiveness. To overcome these issues of CT, adaptive combinatorial testing (ACT) is proposed in this paper, which improves the traditional CT with a well established adaptive testing method as the counter part of adaptive control and aims to make CT more flexible and practical. ACT can significantly enhance testing quality, software reliability and support testing strategy adjustment dynamically. To support further investigation, a preliminary form of concrete strategy for ACT is given as a heuristic guideline.",

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AU - Leung, Hareton

AU - Cai, Kai Yuan

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AB - Combinatorial Testing (CT) has been proven to be effective in detecting and locating the interaction triggered failure in the last 20 years. But CT still suffers from many challenges, such as modeling for CT, sampling mechanisms for test generation, applicability and effectiveness. To overcome these issues of CT, adaptive combinatorial testing (ACT) is proposed in this paper, which improves the traditional CT with a well established adaptive testing method as the counter part of adaptive control and aims to make CT more flexible and practical. ACT can significantly enhance testing quality, software reliability and support testing strategy adjustment dynamically. To support further investigation, a preliminary form of concrete strategy for ACT is given as a heuristic guideline.

KW - Adaptive Combinatorial Testing

KW - Adaptive Testing

KW - Combinatorial Testing

KW - Software Testing

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T2 - 13th International Conference on Quality Software, QSIC 2013

Y2 - 29 July 2013 through 30 July 2013

ER -

Adaptive combinatorial testing

Abstract

Conference

Keywords

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