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Authors: Ana Maria Amorim 1 ; Glaucya Boechat 2 ; Renato Novais 3 ; Vaninha Vieira 4 and Karina Villela 5

Affiliations: 1 Federal University of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA, Brazil ; 2 Federal University of Bahia, Brazil ; 3 Federal Institute of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA (FPC-UFBA), Brazil ; 4 Federal University of Bahia and Fraunhofer Project Center for Software and Systems Engineering at UFBA (FPC-UFBA), Brazil ; 5 Fraunhofer Institute for Experimental Software Engineering (IESE), Germany

ISBN: 978-989-758-248-6

Keyword(s): Crowdsourcing, Software Quality, Mobile Computing, Emergency Management.

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Information Systems Analysis and Specification ; Software Engineering ; Software Metrics and Measurement

Abstract: In an emergency situation where the physical integrity of people is at risk, a mobile solution should be easy to use and trustworthy. In order to offer a good user experience and to improve the quality of the app, we should evaluate characteristics of usability, satisfaction, and freedom from risk. This paper presents an experiment whose objective is to evaluate quality attributes in a crowdsourcing-based emergency management system. The quality attributes evaluated are: appropriateness recognisability, user interface aesthetics, usefulness, trust, and health and safety risk mitigation. The experiment was designed following the Goal/Question/Metric approach. We could evaluate the app with experts from the area of emergency. The results showed that the participants thought the app was well designed, easy to understand, easy to learn, and easy to use. This evaluation ensured the application improvement, and also the evaluation process adopted.

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Paper citation in several formats:
Amorim, A.; Boechat, G.; Novais, R.; Vieira, V. and Villela, K. (2017). Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 501-509. DOI: 10.5220/0006360405010509

@conference{iceis17,
author={Ana Maria Amorim. and Glaucya Boechat. and Renato Novais. and Vaninha Vieira. and Karina Villela.},
title={Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={501-509},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006360405010509},
isbn={978-989-758-248-6},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System
SN - 978-989-758-248-6
AU - Amorim, A.
AU - Boechat, G.
AU - Novais, R.
AU - Vieira, V.
AU - Villela, K.
PY - 2017
SP - 501
EP - 509
DO - 10.5220/0006360405010509

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