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Authors: Roberto Verdecchia 1 ; Patricia Lago 1 ; Ivano Malavolta 1 and Ipek Ozkaya 2

Affiliations: 1 Vrije Universiteit Amsterdam, The Netherlands ; 2 Software Engineering Institute, Carnegie Mellon University, U.S.A.

Keyword(s): Software Architecture, Technical Debt, Software Analytics, Software Metrics, Software Maintenance.

Abstract: Architectural technical debt (ATD) in software-intensive systems refers to the architecture design decisions which work as expedient in the short term, but later negatively impact system evolvability and maintainability. Over the years numerous approaches have been proposed to detect particular types of ATD at a refined level of granularity via source code analysis. Nevertheless, how to gain an encompassing overview of the ATD present in a software-intensive system is still an open question. In this study, we present a multi-step approach designed to build an ATD index (ATDx), which provides insights into a set of ATD dimensions building upon existing architectural rules by leveraging statistical analysis. The ATDx approach can be adopted by researchers and practitioners alike in order to gain a better understanding of the nature of the ATD present in software-intensive systems, and provides a systematic framework to implement concrete instances of ATDx according to specific project and organizational needs. (More)

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Paper citation in several formats:
Verdecchia, R.; Lago, P.; Malavolta, I. and Ozkaya, I. (2020). ATDx: Building an Architectural Technical Debt Index. 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, pages 531-539. DOI: 10.5220/0009577805310539

@conference{enase20,
author={Roberto Verdecchia. and Patricia Lago. and Ivano Malavolta. and Ipek Ozkaya.},
title={ATDx: Building an Architectural Technical Debt Index},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE,},
year={2020},
pages={531-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009577805310539},
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 - ATDx: Building an Architectural Technical Debt Index
SN - 978-989-758-421-3
IS - 2184-4895
AU - Verdecchia, R.
AU - Lago, P.
AU - Malavolta, I.
AU - Ozkaya, I.
PY - 2020
SP - 531
EP - 539
DO - 10.5220/0009577805310539