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2025 | OriginalPaper | Buchkapitel

A Data-Driven Approach to Optimize Internal Software Quality and Customer Value Delivery

verfasst von : Bhuwan Paudel, Javier Gonzalez-Huerta, Daniel Mendez, Eriks Klotins

Erschienen in: Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers

Verlag: Springer Nature Switzerland

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Abstract

The growing complexity, the ever-ending demands for new features, and the need to become faster to remain competitive force software development organizations to rethink their development and value delivery practices. While continuous delivery has become more popular, it still relies mainly on internal metrics, ad-hoc data, and expert opinions. As a result, software organizations stumble to find the balance between improving internal system quality and delivering external value. In fact, understanding and measuring customer value is on itself essential. In this PhD project, we aim for a better understanding of customer value and develop measurement instruments to be integrated with internal perspectives to drive proactive and continuous internal improvement while delivering relevant customer value.

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Vorheriges Kapitel Generating and Evolving Real-Life Like Synthetic Data for e-Government Services Without Using Real-World Raw Data

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Titel: A Data-Driven Approach to Optimize Internal Software Quality and Customer Value Delivery
verfasst von: Bhuwan Paudel
Javier Gonzalez-Huerta
Daniel Mendez
Eriks Klotins
Verlag: Springer Nature Switzerland
Buch: Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers
Print ISBN: 978-3-031-78391-3

Electronic ISBN: 978-3-031-78392-0

Copyright-Jahr: 2025
DOI: https://doi.org/10.1007/978-3-031-78392-0_13

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