Paper Info
Title
A Comparison of Test Generation Algorithms for Testing Application Interactions
Abstract
Testing the interactions of different applications running in the same operating system or platform poses challenges for manual testing and conventional script-based automation. Towards this end, we have developed an online model-based testing solution allowing efficient testing of such interactions. This paper presents the results of the comparison of algorithms used for generating tests for interaction testing. The comparison is based on our experiments with a number of different algorithms as well as results from the earlier studies by others. Given the simplicity of implementation, Random Walk seems very useful and practical solution for online test generation. However, each of the compared algorithms has its strong points, making the selection dependent of the metric one wants to emphasize and the available a priori information. Especially when the execution of test events is slow, smarter algorithms have advantage over simple random walk.
Year
DOI
Venue
2011
10.1109/QSIC.2011.12
Quality Software
Keywords
Field
DocType
operating systems (computers),program testing,application interactions,conventional script-based automation,manual testing,online model-based testing,operating system,test generation algorithms
Orthogonal array testing,Computer science,Software bug,Manual testing,A priori and a posteriori,Algorithm,Automation,White-box testing,Model-based testing,Artificial intelligence,Machine learning,Online model
Conference
ISSN
ISBN
Citations 
1550-6002 E-ISBN : 978-0-7695-4468-7
978-0-7695-4468-7
2
PageRank 
References 
Authors
0.81
13
4
Name
Order
Citations
PageRank
Antti Nieminen120.81
Antti Jaaskelainen220.81
Heikki Virtanen320.81
Mika Katara431829.78