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.
Original language | English |
---|---|
Title of host publication | ENASE 2020 |
Subtitle of host publication | Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering |
Editors | Raian Ali, Hermann Kaindl, Leszek Maciaszek |
Publisher | SciTePress |
Pages | 531-539 |
Number of pages | 9 |
ISBN (Electronic) | 9789897584213 |
DOIs | |
Publication status | Published - May 2020 |
Event | 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 - Virtual, Online Duration: 5 May 2020 → 6 May 2020 |
Conference
Conference | 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020 |
---|---|
City | Virtual, Online |
Period | 5/05/20 → 6/05/20 |
Funding
This material is partially based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. DM20-0240.
Funders | Funder number |
---|---|
U.S. Department of Defense | FA8702-15-D-0002 |
Carnegie Mellon University | DM20-0240 |
Keywords
- Software Analytics
- Software Architecture
- Software Maintenance
- Software Metrics
- Technical Debt