Business-Driven Technical Debt Prioritization: An Industrial Case Study
Incorporating the business perspective into prioritizing technical debt is essential to contribute to decision making in industry. In this paper, we evolve and evaluate a business-driven approach for technical debt prioritization. The approach was evaluated during a five-month industrial case study with business and technical stakeholders’ active participation. The results show that the approach contributed to aligning business criteria between the business and technical stakeholders. We also observed a downward trend in the amount of technical debt that affects high-value business assets. Moreover, we identified eight business factors that affect the decision making related to the prioritization of technical debt. The study results suggest that the proposed business-driven technical debt prioritization approach can help teams to focus their efforts on paying off the business’ most relevant debt.
Wed 19 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
16:00 - 16:50 | Opening + TD Management - 1Technical Papers / Tools at TechDebt Room Chair(s): Maria Teresa Baldassarre Department of Computer Science, University of Bari | ||
16:00 10mDay opening | Conference Opening Technical Papers Antonio Martini University of Oslo, Norway Media Attached | ||
16:10 20mFull-paper | Business-Driven Technical Debt Prioritization: An Industrial Case Study Technical Papers Rodrigo Rebouças de Almeida Federal University of Paraiba, Rafael do Nascimento Ribeiro Universidade Federal do Rio Grande do Norte - UFRN, Christoph Treude University of Adelaide, Uirá Kulesza Federal University of Rio Grande do Norte Pre-print Media Attached | ||
16:30 20mFull-paper | Preventing Technical Debt by Technical Debt Aware Project Management - Evaluation of a Framework for Managing Technical Debt Developed by Practitioners Technical Papers Marion Wiese Universität Hamburg, MIN Fakultät, FB Informatik, Matthias Riebisch Universität Hamburg, MIN Fakultät, FB Informatik, Julian Schwarze Gruner + Jahr GmbH Pre-print Media Attached |
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