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Authors: Eladio Domínguez 1 ; Beatriz Pérez 2 ; Ángel L. Rubio 2 and María A. Zapata 1

Affiliations: 1 Dpto. de Informática e Ingeniería de Sistemas, Univ. de Zaragoza, Zaragoza, Spain ; 2 Dpto. de Matemáticas y Computación, Univ. de La Rioja, La Rioja, Spain

Keyword(s): KPIs, Performance Measurement, Evolution Framework.

Abstract: Key Performance Indicators (KPIs) are becoming essential elements for measuring business performance. In recent years, KPIs management has been the subject to sustained interests for researchers and practitioners alike, deriving into a large research corpus of approaches addressing aspects in matters as varied as modelling, maintenance or expressiveness of KPIs. In particular, since both businesses and processes have to be adapted to ever-changing requirements, the KPIs that measure their performance must evolve accordingly. However, based on a previous review of the literature, we found that little attention has been paid to the provision of mechanisms to manage KPIs evolution. Our long-term research goal is to provide a fully proposal for supporting KPIs evolution management. In this position paper, we present the first ideas of a conceptual framework for addressing this issue, proposing a pattern-driven KPI evolution specification and a KPI evolution metamodel made up of two inter connected views. Our proposal is general enough to be applied regardless of the specific KPIs management approach being used. (More)

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Paper citation in several formats:
Domínguez, E. ; Pérez, B. ; Rubio, Á. and Zapata, M. (2020). Towards a Framework for KPI Evolution. In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-421-3; ISSN 2184-4895, SciTePress, pages 463-469. DOI: 10.5220/0009465604630469

@conference{enase20,
author={Eladio Domínguez and Beatriz Pérez and Ángel L. Rubio and María A. Zapata},
title={Towards a Framework for KPI Evolution},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2020},
pages={463-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009465604630469},
isbn={978-989-758-421-3},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Towards a Framework for KPI Evolution
SN - 978-989-758-421-3
IS - 2184-4895
AU - Domínguez, E.
AU - Pérez, B.
AU - Rubio, Á.
AU - Zapata, M.
PY - 2020
SP - 463
EP - 469
DO - 10.5220/0009465604630469
PB - SciTePress