A Data-Driven Approach to Optimize Internal Software Quality and Customer Value Delivery
2025 (English) In: Product-Focused Software Process Improvement. Industry-, Workshop-, and Doctoral Symposium Papers / [ed] Pfahl D., Anwar H., Gonzalez Huerta J., Klünder J., Springer Science+Business Media B.V., 2025, Vol. 15453, p. 179-185Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages Springer Science+Business Media B.V., 2025. Vol. 15453, p. 179-185
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 15453
Keywords [en]
Continuous Customer Value Delivery, Data-Driven Approach, Software Quality Improvement, Sales, Competitive forces, Customer values, Expert opinion, Quality value, Software development organizations, Software Quality, Software quality improvements, Value delivery
National Category
Software Engineering
Identifiers URN: urn:nbn:se:bth-27310 DOI: 10.1007/978-3-031-78392-0_13 ISI: 001423667900013 Scopus ID: 2-s2.0-85211242536 ISBN: 9783031783913 (print) OAI: oai:DiVA.org:bth-27310 DiVA, id: diva2:1923497
Conference 25th International Conference on Product-Focused Software Process Improvement, PROFES 2024, Tartu, Dec 2-4, 2024
Part of project SERT- Software Engineering ReThought, Knowledge Foundation
Funder Knowledge Foundation, 20180010 2024-12-262024-12-262025-03-14 Bibliographically approved