Semi-automated Algorithm for Complex Test Data Generation for Interface-based Regression Testing of Software Components
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962517" target="_blank" >RIV/49777513:23520/21:43962517 - isvavai.cz</a>
Result on the web
<a href="https://annals-csis.org/proceedings/2021/drp/pdf/58.pdf" target="_blank" >https://annals-csis.org/proceedings/2021/drp/pdf/58.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2021F58" target="_blank" >10.15439/2021F58</a>
Alternative languages
Result language
angličtina
Original language name
Semi-automated Algorithm for Complex Test Data Generation for Interface-based Regression Testing of Software Components
Original language description
This paper describes in detail the Complex Object Generation (COG) algorithm, which is a semi-automated algorithm for the generation of instances of classes (i.e., objects) with a complex inner structure for Java and similar languages designed for black-box testing (i.e., without available source code). The algorithm was developed and tested as a stand-alone algorithm and can be used as such (e.g., during unit testing). However, we plan to use it to generate the parameter values of generated method invocations, which is a vital part of our interface-based regression testing of software components.
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
2021
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 16th Conference on Computer Science and Intelligence Systems
ISBN
978-83-959183-8-4
ISSN
2325-0348
e-ISSN
2300-5963
Number of pages
10
Pages from-to
501-510
Publisher name
IEEE
Place of publication
Piscataway
Event location
Online, Polsko
Event date
Sep 2, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000904349400064