Antonio Martini

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Martini, Antonio; Arcelli Fontana, Francesca; Biaggi, Andrea & Roveda, Riccardo - Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company, In 12th European Conference on Software Architecture, ECSA 2018

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Terese Besker, Antonio Martini, and Jan Bosch - Technical Debt Cripples Software Developer Productivity: A Longitudinal Study on Developers’ Daily Software Development Work, published in TechDebt@ICSE, ICSE companion 2018

/ifi/english/people/aca/antonima/papers/icse-ce-techdebt-40.pdf

Terese Besker, Antonio Martini, Kelly Blincoe, Rumesh Edirisooriya Lokuge and Jan Bosch - Embracing Technical Debt, from a Startup Company Perspective, published in International Conference in Software Maintenance and Evolution 2018, ICSME 2018

/ifi/english/people/aca/antonima/papers/2018_icsme_startups.pdf

• Besker, Terese; Martini, Antonio & Bosch, Jan (2019). Software developer productivity loss due to technical debt?A replication and extension study examining developers? development work. Journal of Systems and Software.  ISSN 0164-1212.  156, s 41- 61 . doi: 10.1016/j.jss.2019.06.004
• Hanssen, Geir Kjetil; Brataas, Gunnar & Martini, Antonio (2019). Identifying Scalability Debt in Open Systems, In Paris Avgeriou & Klaus Schmid (ed.),  Proceedings of the Second International Conference on Technical Debt.  IEEE Press.  ISBN 978-1-7281-3371-3.  Artikkel.  s 48 - 52 Show summary

  Architectural technical debt can be generated by changes in the business and the environment of an organization. In this paper, we emphasize the change in scalability requirements due to new regulations. Scalability is the ability of a system to handle an increased workload. For complex systems that are abruptly exposed via open interfaces and hence a greater workload, the scalability requirements may quickly increase, leading to technical debt. We term this scalability debt. This paper describes scalability triage, a light-weight, novel technique for identifying scalability threats as a form of technical debt. We illustrate this technique with an open banking case from a large software organization. Open banking is partly caused by the new European PSD2 regulative that enforce banks to open interfaces to unknown third-party actors. Banking systems are well-established, mature systems. However, with the advent of open banking and PSD2, the workload may quickly rocket. This leads to tougher scalability requirements and accumulated architectural debt, despite previously sound architectural decisions. Using scalability triage, such risks may be identified fast. It will then be possible to prevent this form of technical debt with timely reengineering.

• Martini, Antonio; Stray, Viktoria & Moe, Nils Brede (2019). Technical-, Social- and Process Debt in Large-Scale Agile: An Exploratory Case-Study. Lecture Notes in Business Information Processing.  ISSN 1865-1348.  364, s 112- 119 . doi: 10.1007/978-3-030-30126-2_14
• Soares De Toledo, Saulo; Martini, Antonio; Przybyszewska, Agata & Sjøberg, Dag (2019). Architectural Technical Debt in Microservices: A Case Study in a Large Company, In Paris Avgeriou & Klaus Schmid (ed.),  Proceedings of the Second International Conference on Technical Debt.  IEEE Press.  ISBN 978-1-7281-3371-3. Show summary

  Introduction: Software companies aim to achieve continuous delivery to constantly provide value to their customers. A popular strategy is to use microservices architecture. However, such an architecture is also subject to debt, which hinders the continuous delivery process and thus negatively affects the software released to the customers. Objectives: The aim of this study is to identify issues, solutions and risks related to Architecture Technical Debt in microservices. Method: We conducted an exploratory case study of a real life project with about 1000 services in a large, international company. Through qualitative analysis of documents and interviews, we investigated Architecture Technical Debt in the communication layer of a system with microservices architecture. Results: Our main contributions are a list of Architecture Technical Debt issues specific for the communication layer in a system with microservices architecture, as well as their associated negative impact (interest), a solution to repay the debt and the its cost (principal). Among the found Architecture Technical Debt issues were the existence of business logic in the communication layer and a high amount of point-to-point connections between services. The studied solution consists of the implementation of different canonical models specific to different domains, the removal of business logic from the communication layer, and migration from services to use the communication layer correctly. We also contributed with a list of possible risks that can affect the payment of the debt, as lack of funding and inadequate prioritization. Conclusion: We found issues, solutions and possible risks that are specific for microservices architectures not yet encountered in the current literature. Our results may be useful for practitioners that want to avoid or repay Technical Debt in their microservices architecture.

• Besker, Terese; Martini, Antonio & Bosch, Jan (2018). Technical debt cripples software developer productivity: A longitudinal study on developers' daily software development work. Proceedings - International Conference on Software Engineering.  ISSN 0270-5257.  s 105- 114 . doi: 10.1145/3194164.3194178
• Besker, Terese; Martini, Antonio; Lokuge, Rumesh Edirisooriya; Blincoe, Kelly & Bosch, Jan (2018). Embracing Technical Debt, from a Startup Company Perspective, In - - (ed.),  2018 IEEE International Conference on Software Maintenance and Evolution (ICSME).  IEEE.  ISBN 978-1-5386-7870-1.  -.  s 415 - 425
• Martini, Antonio (2018). AnaConDebt: A Tool to Assess and Track Technical Debt. Proceedings - International Conference on Software Engineering.  ISSN 0270-5257.  s 55- 56 . doi: 10.1145/3194164.3194185
• Martini, Antonio; Arcelli Fontana, Francesca; Biaggi, Andrea & Roveda, Riccardo (2018). Identifying and Prioritizing Architectural Debt Through Architectural Smells: A Case Study in a Large Software Company, In Carlos E. Cuesta; David Garlan & Jennifer Pérez (ed.),  12th European Conference on Software Architecture, ECSA 2018, Madrid, Spain, September 24–28, 2018, Proceedings.  Springer.  ISBN 978-3-030-00760-7.  ECSA 2018: Software Architecture.  s 320 - 335
• Martini, Antonio; Besker, Terese & Bosch, Jan (2018). Technical Debt tracking: Current state of practice: A survey and multiple case study in 15 large organizations. Science of Computer Programming.  ISSN 0167-6423.  163, s 42- 61 . doi: 10.1016/j.scico.2018.03.007
• Martini, Antonio; Sikander, Erik & Madlani, Niel (2018). A semi-automated framework for the identification and estimation of Architectural Technical Debt: A comparative case-study on the modularization of a software component. Information and Software Technology.  ISSN 0950-5849.  93, s 264- 279 . doi: 10.1016/j.infsof.2017.08.005