Generation and Application of Constrained Interaction Test Suites Using Base Forbidden Tuples with a Mixed Neighborhood Tabu Search
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341509" target="_blank" >RIV/68407700:21230/20:00341509 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1142/S0218194020500151" target="_blank" >https://doi.org/10.1142/S0218194020500151</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218194020500151" target="_blank" >10.1142/S0218194020500151</a>
Alternative languages
Result language
angličtina
Original language name
Generation and Application of Constrained Interaction Test Suites Using Base Forbidden Tuples with a Mixed Neighborhood Tabu Search
Original language description
To ensure the quality of current highly configurable software systems, intensive testing is needed to test all the configuration combinations and detect all the possible faults. This task becomes more challenging for most modern software systems when constraints are given for the configurations. Here, intensive testing is almost impossible, especially considering the additional computation required to resolve the constraints during the test generation process. In addition, this testing process is exhaustive and time-consuming. Combinatorial interaction strategies can systematically reduce the number of test cases to construct a minimal test suite without affecting the effectiveness of the tests. This paper presents a new efficient search-based strategy to generate constrained interaction test suites to cover all possible combinations. The paper also shows a new application of constrained interaction testing in software fault searches. The proposed strategy initially generates the set of all possible t-tuple combinations; then, it filters out the set by removing the forbidden t-tuples using the Base Forbidden Tuple (BFT) approach. The strategy also utilizes a mixed neighborhood tabu search (TS) to construct optimal or near-optimal constrained test suites. The efficiency of the proposed method is evaluated through a comparison against two well-known state-of-the-art tools. The evaluation consists of three sets of experiments for 35 standard benchmarks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Software Engineering and Knowledge Engineering
ISSN
0218-1940
e-ISSN
1793-6403
Volume of the periodical
30
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
36
Pages from-to
363-398
UT code for WoS article
000531558900003
EID of the result in the Scopus database
2-s2.0-85084179914