Title
Generation of Invalid Test Inputs from Over-Constrained Test Models for Combinatorial Robustness Testing
Abstract
Testing with invalid test inputs is important to evaluate the robustness of a system. Combinatorial robustness testing is an approach to generate valid and invalid test inputs separately. Unfortunately, it is easy to create over-constrained test models. As a result, not all specified invalid values or invalid value combinations appear in the test suite. Previous work proposed to repair the test model manually or semi-automatically based on conflict detection and diagnosis techniques. In this paper, we extend that work and present a fully-automatic approach that allows to generate invalid test inputs from over-constrained test models based on alternative constraint handling strategies.
Year
DOI
Venue
2020
10.1109/ICSTW50294.2020.00038
2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Keywords
DocType
ISSN
Robustness Testing,Combinatorial Testing,Inconsistent Constraint Set,Model-based Diagnosis
Conference
2159-4848
ISBN
Citations 
PageRank 
978-1-7281-1076-9
0
0.34
References 
Authors
11
2
Name
Order
Citations
PageRank
Konrad Fögen152.15
Horst Lichter225251.53