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Authors: Fredrik Abbors ; Dragos Truscan and Tanwir Ahmad

Affiliation: Åbo Akademi University, Finland

ISBN: 978-989-758-036-9

Keyword(s): Workload Model Generation, Log File Analysis, Performance Testing, Probabilistic Timed Automata.

Related Ontology Subjects/Areas/Topics: Cross-Feeding between Data and Software Engineering ; Model-Driven Engineering ; Software Engineering ; Software Engineering Methods and Techniques ; Software Testing and Maintenance ; User Identification and Intrusion Detection

Abstract: We present a tool-supported approach for creating workload models from historical web access log data. The resulting workload models are stochastic, represented as Probabilistic Timed Automata (PTA), and describe how users interact with the system. Such models allow one to analyze different user profiles and to mimic real user behavior as closely as possible when generating workload. We provide an experiment to validate the approach.

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Paper citation in several formats:
Abbors, F.; Truscan, D. and Ahmad, T. (2014). An Automated Approach for Creating Workload Models from Server Log Data.In Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014) ISBN 978-989-758-036-9, pages 14-25. DOI: 10.5220/0005002200140025

@conference{icsoft-ea14,
author={Fredrik Abbors. and Dragos Truscan. and Tanwir Ahmad.},
title={An Automated Approach for Creating Workload Models from Server Log Data},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014)},
year={2014},
pages={14-25},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005002200140025},
isbn={978-989-758-036-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2014)
TI - An Automated Approach for Creating Workload Models from Server Log Data
SN - 978-989-758-036-9
AU - Abbors, F.
AU - Truscan, D.
AU - Ahmad, T.
PY - 2014
SP - 14
EP - 25
DO - 10.5220/0005002200140025

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