Deep Object Comparison 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%2F18%3A43952332" target="_blank" >RIV/49777513:23520/18:43952332 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15439/2018F51" target="_blank" >http://dx.doi.org/10.15439/2018F51</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2018F51" target="_blank" >10.15439/2018F51</a>
Alternative languages
Result language
angličtina
Original language name
Deep Object Comparison for Interface-based Regression Testing of Software Components
Original language description
In this paper, we describe the deep object comparison (DOC) algorithm, which is used for comparison of general objects in Java programming language based on their internal structures and values of primitive attributes. The DOC algorithm was designed to be utilized in our interface-based regression testing of software components, which enables to uncover subtle changes of the behavior of a component-based application under test with a newly installed version of a software component in comparison to its behavior with an old version of this component.
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
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
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 Federated Conference on Computer Science and Information Systems
ISBN
978-83-949419-5-6
ISSN
2300-5963
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
1053-1062
Publisher name
IEEE
Place of publication
Piscataway, USA
Event location
Poznaň, Polsko
Event date
Sep 9, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000454652300144