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Authors: Solange Paz 1 and Jorge Bernardino 2

Affiliations: 1 Polytechnic Institute of Coimbra, Portugal ; 2 Polytechnic Institute of Coimbra and Centre of Informatics and Systems of University of Coimbra, Portugal

Keyword(s): Web Assessment Tools, Load Testing, Performance Tests.

Abstract: Search engines are used daily anywhere in the world. Although they regularly use updated indexes to run quickly and efficiently, they sometimes fail to keep the user on their page for a long time. As such, it is important that their response time is the lowest possible Therefore, it is essential to understand what load is supported by each search engine by conducting load testing. These tests have the objective of optimizing the performance of the application being tested, thus verifying the maximum amount of data that is processed. In this paper we conduct a comparative analysis of the four most popular web platform assessment tools, Apache JMeter, Apache Flood, The Grinder and Gatling, and elect the best. In the experimental evaluation the search engines used are: Google, Bing, Ask and Aol Search.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Paz, S. and Bernardino, J. (2017). Comparative Analysis of Web Platform Assessment Tools. In Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-246-2; ISSN 2184-3252, SciTePress, pages 116-125. DOI: 10.5220/0006308101160125

@conference{webist17,
author={Solange Paz. and Jorge Bernardino.},
title={Comparative Analysis of Web Platform Assessment Tools},
booktitle={Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST},
year={2017},
pages={116-125},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006308101160125},
isbn={978-989-758-246-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST
TI - Comparative Analysis of Web Platform Assessment Tools
SN - 978-989-758-246-2
IS - 2184-3252
AU - Paz, S.
AU - Bernardino, J.
PY - 2017
SP - 116
EP - 125
DO - 10.5220/0006308101160125
PB - SciTePress