Optical Character Recognition Based-On System for Automated Software Testing

D. Abbas, J. Olszewska

2024

Abstract

The paper presents the development and deployment of an artificial intelligence (AI) test automation framework that allows testers to more fluidly develop scripts and carry out their day-to-day tasks. In particular, the framework aims to speed up the test automation process by enabling its users to locate elements on a webpage through the use of template-matching-based image recognition as well as optical character recognition (OCR). Indeed, test automation specialists spend much of their time creating page-object models (POMs), where they capture elements on the screen via complex locators such as cascading style sheet (CSS) or XPath. However, when webpages are updated or elements are moved around, locators become void, eventually pointing to nothing unless written in such a dynamic way as to prevent this. This heavily relies on developers providing meaningful tags to elements that they can then be located by, whereas with the introduction of an image recognition engine in our AI framework, this tedious and long-winded approach has been be shortened.

Paper Citation

in Harvard Style

Abbas D. and Olszewska J. (2024). Optical Character Recognition Based-On System for Automated Software Testing. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 894-906. DOI: 10.5220/0012740000003690

in Bibtex Style

@conference{iceis24,
author={D. Abbas and J. Olszewska},
title={Optical Character Recognition Based-On System for Automated Software Testing},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={894-906},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012740000003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Optical Character Recognition Based-On System for Automated Software Testing
SN - 978-989-758-692-7
AU - Abbas D.
AU - Olszewska J.
PY - 2024
SP - 894
EP - 906
DO - 10.5220/0012740000003690
PB - SciTePress