undefined

Dynamic Test Case Prioritization in Industrial Test Result Datasets

Year of publication

2024

Authors

Alina Torbunova; Per Erik Strandberg; Ivan Porres

Abstract

Regression testing in software development checks if new software features affect existing ones. Regression testing is a key task in<br/>continuous development and integration, where software is built in small increments and new features are integrated as soon as<br/>possible. It is therefore important that developers are notified about possible faults quickly. In this article, we propose a test case prioritization schema that combines the use of a static and a dynamic prioritization algorithm. The dynamic prioritization algorithm rearranges the order of execution of tests on the fly, while the tests are being executed. We propose to use a conditional probability<br/>dynamic algorithm for this. We evaluate our solution on three industrial datasets and utilize Average Percentage of Fault Detection<br/>for that. The main findings are that our dynamic prioritization algorithm can: a) be applied with any static algorithm that assigns<br/>a priority score to each test case b) can improve the performance of the static algorithm if there are failure correlations between test<br/>cases c) can also reduce the performance of the static algorithm, but only when the static scheduling is performed at a near optimal<br/>level.<br/>
Show more

Organizations and authors

Åbo Akademi University

Torbunova Alina

Porres Ivan Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Conference

Article type

Other article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A4 Article in conference proceedings

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

Other information

Fields of science

Computer and information sciences

Keywords

[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

Yes

DOI

10.1145/3644032.3644452

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes