Alternative Effort-optimal Model-based Strategy for State Machine Testing of IoT Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346434" target="_blank" >RIV/68407700:21230/20:00346434 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3425329.3425330" target="_blank" >https://doi.org/10.1145/3425329.3425330</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3425329.3425330" target="_blank" >10.1145/3425329.3425330</a>
Alternative languages
Result language
angličtina
Original language name
Alternative Effort-optimal Model-based Strategy for State Machine Testing of IoT Systems
Original language description
To effectively test parts of the Internet of Things (IoT) systems having a character of a state machine, Model-based Testing (MBT) approach can be taken. In MBT, a model of a system is created, and test cases generated automatically from the model, and a number of current strategies exist. In this paper we propose a novel alternative strategy, that concurrently allows to flexibly adjust the preferred length of the generated test cases, as well as to mark the states, in which the test case can start and end. Compared with an intuitive N-switch coverage-based strategy that aims at the same goals, our proposal generates a lower number of shorter test cases with less test step duplications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of The 2nd World Symposium on Software Engineering (WSSE 2020)
ISBN
978-1-4503-8787-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
141-145
Publisher name
ACM
Place of publication
New York
Event location
Chengdu
Event date
Sep 25, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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