An ontology-based meta-modelling approach for software test cases

Software testing plays a crucial role in the software development lifecycle, ensuring the reliability and quality of software programs. Despite the advancements in the field, software test cases still suffer of poor specifications, leading to communication issues, inefficiencies, and increased costs. This study investigates the suitability of an ontology-based meta-modelling approach, aiming to support the design of adequate software test cases. The approach promotes the human and machine-interpretability of domain-specific models representing the software test cases. This has the advantage of using automated reasoning services to support the creation of adequate test cases. A new domain-specific modelling language, ontoST, has been developed and implemented in the tool AOAME4STC for the proof of concept.

Links

• https://ceur-ws.org/Vol-3804/paper6o.pdf

Cite as

BibTeX (Download)

@inproceedings{nokey,
title = {An ontology-based meta-modelling approach for software test cases},
author = {Nehemiah Mung’au and Emanuele Laurenzi},
url = {https://ceur-ws.org/Vol-3804/paper6o.pdf},
year  = {2024},
date = {2024-09-11},
booktitle = {BIR-WS 2024: BIR 2024 Workshops and Doctoral Consortium, 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024)},
abstract = {Software testing plays a crucial role in the software development lifecycle, ensuring the reliability and quality of software programs. Despite the advancements in the field, software test cases still suffer of poor specifications, leading to communication issues, inefficiencies, and increased costs. This study investigates the suitability of an ontology-based meta-modelling approach, aiming to support the design of adequate software test cases. The approach promotes the human and machine-interpretability of domain-specific models representing the software test cases. This has the advantage of using automated reasoning services to support the creation of adequate test cases. A new domain-specific modelling language, ontoST, has been developed and implemented in the tool AOAME4STC for the proof of concept.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}