Optimization of Software Estimation Models

Chris Kopetschny, Morgan Ericsson, Welf Löwe, Anna Wingkvist

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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