saulos

• Soares de Toledo, Saulo; Martini, Antonio; Nguyen, Phu Hong & Sjøberg, Dag (2022). Accumulation and Prioritization of Architectural Debt in Three Companies Migrating to Microservices. IEEE Access. ISSN 2169-3536. 10, p. 37422–37445. doi: 10.1109/ACCESS.2022.3158648. Full text in Research Archive
• Soares de Toledo, Saulo; Martini, Antonio; Sjøberg, Dag; Przybyszewska, Agata & Skov Frandsen, Johannes (2021). Reducing Incidents in Microservices by Repaying Architectural Technical Debt, Proceedings of 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-2705-0. doi: 10.1109/SEAA53835.2021.00033. Full text in Research Archive
• Avgeriou, Paris C.; Taibi, Davide; Ampatzoglou, Apostolos; Arcelli Fontana, Francesca; Besker, Terese & Chatzigeorgiou, Alexander [Show all 14 contributors for this article] (2021). An Overview and Comparison of Technical Debt Measurement Tools. IEEE Software. ISSN 0740-7459. 38(3), p. 61–71. doi: 10.1109/MS.2020.3024958.
• Soares De Toledo, Saulo; Martini, Antonio & Sjøberg, Dag (2021). Identifying architectural technical debt, principal, and interest in microservices: A multiple-case study. Journal of Systems and Software. ISSN 0164-1212. 177. doi: 10.1016/j.jss.2021.110968. Full text in Research Archive Show summary

  Background: Using a microservices architecture is a popular strategy for software organizations to deliver value to their customers fast and continuously. However, scientific knowledge on how to manage architectural debt in microservices is scarce. Objectives: In the context of microservices applications, this paper aims to identify architectural technical debts (ATDs), their costs, and their most common solutions. Method: We conducted an exploratory multiple case study by conducting 25 interviews with practitioners working with microservices in seven large companies. Results: We found 16 ATD issues, their negative impact (interest), and common solutions to repay each debt together with the related costs (principal). Two examples of critical ATD issues found were the use of shared databases that, if not properly planned, leads to potential breaks on services every time the database schema changes and bad API designs, which leads to coupling among teams. We identified ATDs occurring in different domains and stages of development and created a map of the relationships among those debts. Conclusion: The findings may guide organizations in developing microservices systems that better manage and avoid architectural debts.

• Soares De Toledo, Saulo; Martini, Antonio & I. K. Sjøberg, Dag (2020). Improving Agility by Managing Shared Libraries in Microservices. In Paasivaara, Maria & Kruchten, Philippe (Ed.), Lecture Notes in Business Information Processing, vol 396. Springer Berlin/Heidelberg. ISSN 978-3-030-58857-1. p. 195–202. doi: 10.1007/978-3-030-58858-8_20. Full text in Research Archive
• Soares De Toledo, Saulo; Martini, Antonio; Przybyszewska, Agata & Sjøberg, Dag (2019). Architectural Technical Debt in Microservices: A Case Study in a Large Company. In Avgeriou, Paris & Schmid, Klaus (Ed.), Proceedings of the Second International Conference on Technical Debt. IEEE Press. ISSN 978-1-7281-3371-3. doi: 10.1109/TechDebt.2019.00026. Full text in Research Archive

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