CMSA algorithm for solving the prioritized pairwise test data generation problem in software product lines

2020 ◽  
Author(s):  
Javier Ferrer ◽  
Francisco Chicano ◽  
José Antonio Ortega-Toro
Keyword(s):  
Test Data ◽  
Software Product Lines ◽  
Test Data Generation ◽  
Data Generation ◽  
Product Lines ◽  
Software Product ◽  
Generation Problem ◽  
Pairwise Test

G2Way A Backtracking Strategy for Pairwise Test Data Generation

2008 ◽  
Author(s):  
Mohammad F.J. Klaib ◽  
Kamal Z. Zamli ◽  
Nor Ashidi M. Isa ◽  
Mohammed I. Younis ◽  
Rusli Abdullah
Keyword(s):  
Test Data ◽  
Test Data Generation ◽  
Data Generation ◽  
Pairwise Test

scholarly journals G2WAY: A PAIRWISE TEST DATA GENERATION STRATEGY WITH AUTOMATED EXECUTION SUPPORT

2010 ◽  
Author(s):  
Kamal Zuhairi Bin Zamli ◽  
Mohammed Fadel Jamil Klaib ◽  
Mohammad Issam Younis ◽  
Ong Hui Yeh
Keyword(s):  
Empirical Evidence ◽  
Test Data ◽  
Test Generation ◽  
Generation Time ◽  
Test Data Generation ◽  
Data Generation ◽  
Computing Environment ◽  
New Strategy ◽  
Pairwise Test

This paper discusses a new strategy, called G2Way, for pairwise test data generation. Unlike existing strategies, G2Way also supports (concurrent) automated execution integrated within the strategy itself. Furthermore, empirical evidence demonstrates that G2Way, in some cases, outperformed existing strategies in terms of the number of generated test data (as compared to that of AETG and its variations, IPO, SA, GA, ACA, and All Pairs). Notwithstanding the differences in the computing environment employed as well as the overhead incurred to permit automated execution, the test generation time is also within reasonable value.  

Assessing IRPS as an efficient pairwise test data generation strategy

2010 ◽  
Vol 2 (1) ◽  
pp. 90 ◽  
Author(s):  
Mohammed I. Younis ◽  
Kamal Z. Zamli ◽  
Mohammad F.J. Klaib ◽  
Zainal Hisham Che Soh ◽  
Syahrul Afzal Che Abdullah ◽  
...  
Keyword(s):  
Test Data ◽  
Test Data Generation ◽  
Data Generation ◽  
Pairwise Test

scholarly journals Benefits of an Application of Evolutionary Strategy in the Process of Test Data Generation

2016 ◽  
Vol 22 (2) ◽  
pp. 106-109
Author(s):  
Marek Żukowicz
Keyword(s):  
Test Data ◽  
Software Quality ◽  
Optimization Problem ◽  
Quality Criteria ◽  
Evolutionary Strategy ◽  
Evolutionary Strategies ◽  
Test Data Generation ◽  
Data Generation ◽  
The Third ◽  
Generation Problem

Abstract The aim of the article is to highlight the advantages that can be obtained through the use of evolutionary strategy in software testing, specifically in the process of test data generation. The first chapter introduces the reader to the topic of the article. Presents information of the problem of software quality, test data fitness and quality criteria. The second chapter provides an overview of the publication in which is described the test data generation problem by using evolutionary strategies. In this chapter there are presented, different approaches to address the optimization problem of test data selection. The third chapter sets out the advantages which in the opinion of the author result from the application of evolutionary strategy in the process of test data generation. In this section have been drawn conclusions from the article, from books listed in the bibliography. The author of the article presents advantages of evolutionary strategy too as a person, which tests a software in practise. The last chapter in addition to summaries and conclusions, proposes the author to suggest in which issues related to testing could be used evolutionary strategies.

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