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Authors: Chris Kopetschny 1 ; Morgan Ericsson 2 ; Welf Löwe 2 and Anna Wingkvist 2

Affiliations: 1 Dezember IT GmbH, Edenkoben and Germany ; 2 Department of Computer Science, Linnaeus University, Växjö and Sweden

ISBN: 978-989-758-379-7

Keyword(s): Estimation Models, Optimization, Software Engineering.

Abstract: In software engineering, estimations are frequently used to determine expected but yet unknown properties of software development processes or the developed systems, such as costs, time, number of developers, efforts, sizes, and complexities. Plenty of estimation models exist, but it is hard to compare and improve them as software technologies evolve quickly. We suggest an approach to estimation model design and automated optimization allowing for model comparison and improvement based on commonly collected data points. This way, the approach simplifies model optimization and selection. It contributes to a convergence of existing estimation models to meet contemporary software technology practices and provide a possibility for selecting the most appropriate ones.

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Paper citation in several formats:
Kopetschny, C.; Ericsson, M.; Löwe, W. and Wingkvist, A. (2019). Optimization of Software Estimation Models.In Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-379-7, pages 141-150. DOI: 10.5220/0008117701410150

@conference{icsoft19,
author={Chris Kopetschny. and Morgan Ericsson. and Welf Löwe. and Anna Wingkvist.},
title={Optimization of Software Estimation Models},
booktitle={Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2019},
pages={141-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008117701410150},
isbn={978-989-758-379-7},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Optimization of Software Estimation Models
SN - 978-989-758-379-7
AU - Kopetschny, C.
AU - Ericsson, M.
AU - Löwe, W.
AU - Wingkvist, A.
PY - 2019
SP - 141
EP - 150
DO - 10.5220/0008117701410150

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