A proposed model-driven approach to manage architectural technical debt life cycle

Boris Perez, Dario Correal, Hernan Astudillo

Research output: Contribution to conferencePaper

Abstract

© 2019 IEEE. Architectural Technical Debt (ATD) is a metaphor used to describe consciously decisions taken by software architects to accomplish short-term goals but possibly negatively affecting the long-term health of the system. However, difficulties arise when repayment strategies are defined because software architects need to be aware of the consequences of these strategies over others decisions in the software architecture. This article proposes REBEL, a semi-automated model-driven approach that exploits natural language processing, machine learning and model checking techniques on heterogeneous project artifacts to build a model that allows to locate and visualize the impact produced by the consciously injected ATD and its repayment strategy on the other architectural decisions. The technique is illustrated with a data analytics project in Colombia where software architects are unaware of the consequences of the repayment strategies. This proposal seeks to support teams of architects to make explicit the current and future impact of the ATD injected as a result of decisions taken, focusing on the architectural level rather than code level.
Original languageEnglish
Pages73-77
Number of pages5
DOIs
Publication statusPublished - 1 May 2019
EventProceedings - 2019 IEEE/ACM International Conference on Technical Debt, TechDebt 2019 -
Duration: 1 May 2019 → …

Conference

ConferenceProceedings - 2019 IEEE/ACM International Conference on Technical Debt, TechDebt 2019
Period1/05/19 → …

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  • Cite this

    Perez, B., Correal, D., & Astudillo, H. (2019). A proposed model-driven approach to manage architectural technical debt life cycle. 73-77. Paper presented at Proceedings - 2019 IEEE/ACM International Conference on Technical Debt, TechDebt 2019, . https://doi.org/10.1109/TechDebt.2019.00025