Advancing Technical Debt Management in Software Systems with a Comprehensive TD Indicator and Question Catalog
Author:
Affiliation:
1. ASELSAN A.Ş. & Information Systems Dept., Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye
2. Information Systems Dept., Graduate School of Informatics, Middle East Technical University, Ankara, Türkiye
Abstract
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/3687251.3687254
Reference22 articles.
1. 1998. IEEE 830-19T98 Recommended Practice for Software Requirements Specifications Standards.
2. Identification and management of technical debt: A systematic mapping study
3. Nicolli S. R. Alves, Leilane F. Ribeiro, Vivyane Caires, Thiago S. Mendes, and Rodrigo O. Spínola. 2014. Towards an Ontology of Terms on Technical Debt. In Proceedings of the 2014 Sixth International Workshop on Managing Technical Debt (MTD '14). IEEE Computer Society, 1--7.
4. Analyzing the concept of technical debt in the context of agile software development: A systematic literature review
5. Dilek Caglayan and Özden Özcan Top. 2024. Revisiting Technical Debt Types and Indicators for Software Systems. Association for Computing Machinery, 834--841.
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