Robot automation testing of software using genetic algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63574378" target="_blank" >RIV/70883521:28140/23:63574378 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10253052" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10253052</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICECCME57830.2023.10253052" target="_blank" >10.1109/ICECCME57830.2023.10253052</a>
Alternative languages
Result language
angličtina
Original language name
Robot automation testing of software using genetic algorithm
Original language description
The demand for excellent software has significantly increased in recent years, bringing the importance of testing-related challenges into the limelight. When generating test data for software testing, the test data must be able to unearth potential software defects, while the test adequacy criterion guarantees the quality of test cases. However, optimizing test data during software testing can improve software reliability. Recently, population-based metaheuristic search techniques (e.g., evolutionary testing) have been utilized in software testing. In this study, we propose and implement a method that utilizes a genetic algorithm to optimize test data for robot testing. Due to its advantages over traditional testing methods, several businesses have recently started using robot-automated testing systems for various applications. We implement a Robot Framework (R.F.) where we receive the data generated by a genetic algorithm. Furthermore, this generated data then acts as a request body for R.F. to test the fitness values and use the generated data as our necessary data sets.
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023
ISBN
979-8-3503-2298-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway, New Jersey
Event location
Tenerife
Event date
Jul 19, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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