2002IEEE Transactions on Software EngineeringRequires access

A test generation strategy for pairwise testing

Kuo‐Chung Tai, Yu Lei

Open publisher page 368 citations

Abstract

Pairwise testing is a specification-based testing criterion which requires that for each pair of input parameters of a system, every combination of valid values of these two parameters be covered by at least one test case. The authors propose a novel test generation strategy for pairwise testing.

About this research paper

What this paper is about

Pairwise testing is a specification-based testing criterion which requires that for each pair of input parameters of a system, every combination of valid values of these two parameters be covered by at least one test case. The authors propose a novel test generation strategy for pairwise testing.

Why it matters

OpenAlex reports 368 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Pairwise testing is a specification-based testing criterion which requires that for each pair of input parameters of a system, every combination of valid values of these two parameters be covered by at least one test case. The authors propose a novel test generation strategy for pairwise testing.

Key concepts: Pairwise comparison, Computer science, White-box testing, Test strategy, Test (biology), Orthogonal array testing, Test Management Approach, System testing

Related papers

Back to paper searchBrowse research topicsOriginal source
A test generation strategy for pairwise testing — Research Paper | ScholarLens