Variability Debt: A Multi-method Study-Reference-Cited by-同舟云学术

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Variability Debt: A Multi-method Study

Published:2023-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the XXII Brazilian Symposium on Software Quality
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Author:

Wolfart Daniele¹^ORCID,AssunçÃo Wesley K. Guez²^ORCID,Martinez Jabier³^ORCID

Affiliation:

1. Faculdade Biopark Educação, Brasil and Programa de Pós-Graduação em Ciência da Computação (PPGCOMP), Universidade Estadual do Oeste do Paraná (UNIOESTE), Brazil

2. North Carolina State University, Estados Unidos

3. Tecnalia, Basque Research and Technology Alliance (BRTA), Espanha

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3629479.3629513

Reference42 articles.

1. A Comparative Survey of Economic Models for Software Product Lines

2. Feature-Oriented Software Product Lines

3. Elvira-Maria Arvanitou Apostolos Ampatzoglou Stamatia Bibi Alexander Chatzigeorgiou and Ioannis Stamelos. 2019. Monitoring Technical Debt in an Industrial Setting. In Evaluation and Assessment on Software Engineering. ACM 123–132. Elvira-Maria Arvanitou Apostolos Ampatzoglou Stamatia Bibi Alexander Chatzigeorgiou and Ioannis Stamelos. 2019. Monitoring Technical Debt in an Industrial Setting. In Evaluation and Assessment on Software Engineering. ACM 123–132.

4. Reengineering legacy applications into software product lines: a systematic mapping

5. Managing Technical Debt in Software Engineering (Dagstuhl Seminar 16162);Avgeriou Paris;Dagstuhl Reports,2016

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