loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Tales Paiva 1 ; Toacy Oliveira 1 ; 2 ; Raquel Pillat 3 and Paulo Alencar 2

Affiliations: 1 Computer and Systems Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil ; 2 Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada ; 3 Software Engineering Program, Universidade Federal do Pampa, Alegrete, Brazil

Keyword(s): Test Automation, RPA, BPMN, Model-Based Testing.

Abstract: Software quality assurance is a crucial process that ensures software products meet specified requirements and quality standards. Achieving an exhaustive test coverage is essential for quality assurance, particularly in complex and dynamic Process-Aware Information Systems (PAIS) built upon the Business Process Model and Notation (BPMN). Manual testing in such systems is challenging due to many execution paths, dependencies, and external interfaces. This paper proposes a model-based testing strategy that uses BPMN models and build specifications as input to generate a Robotic Process Automation (RPA) script that automates a comprehensive User Acceptance Test procedure. Leveraging on Robotic Process Automation (RPA) to automate user interactions allows for reducing the need for testers to manually input PAIS-related information when handling user forms. We also present a Case Study to demonstrate the feasibility of our approach.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.210.77.73

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Paiva, T.; Oliveira, T.; Pillat, R. and Alencar, P. (2023). Supporting the Automated Generation of Acceptance Tests of Process-Aware Information Systems. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-672-9; ISSN 2184-3252, SciTePress, pages 128-139. DOI: 10.5220/0012211400003584

@conference{webist23,
author={Tales Paiva. and Toacy Oliveira. and Raquel Pillat. and Paulo Alencar.},
title={Supporting the Automated Generation of Acceptance Tests of Process-Aware Information Systems},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST},
year={2023},
pages={128-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012211400003584},
isbn={978-989-758-672-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST
TI - Supporting the Automated Generation of Acceptance Tests of Process-Aware Information Systems
SN - 978-989-758-672-9
IS - 2184-3252
AU - Paiva, T.
AU - Oliveira, T.
AU - Pillat, R.
AU - Alencar, P.
PY - 2023
SP - 128
EP - 139
DO - 10.5220/0012211400003584
PB - SciTePress