Antonio Martini

• Pavlović, Milena; Scheffer, Lonneke; Motwani, Keshav; Kanduri, Chakravarthi; Kompova, Radmila & Vazov, Nikolay Aleksandrov [Show all 41 contributors for this article] (2021). The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. Nature Machine Intelligence. 3, p. 936–944. doi: 10.1038/s42256-021-00413-z.
• Brataas, Gunnar; Martini, Antonio; Hanssen, Geir Kjetil & Ræder, Georg (2021). Agile elicitation of scalability requirements for open systems: A case study. Journal of Systems and Software. ISSN 0164-1212. 182:111064, p. 1–20. doi: 10.1016/j.jss.2021.111064. 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.
• Lenarduzzi, Valentina; Besker, Terese; Taibi, Davide; Martini, Antonio & Arcelli Fontana, Francesca (2021). A systematic literature review on Technical Debt prioritization: Strategies, processes, factors, and tools. Journal of Systems and Software. ISSN 0164-1212. 171, p. 1–16. doi: 10.1016/j.jss.2020.110827.
• Khakpour, Alireza; Colomo-Palacios, Ricardo & Martini, Antonio (2021). Visual Analytics for Decision Support: A Supply Chain Perspective. IEEE Access. ISSN 2169-3536. 9, p. 81326–81344. doi: 10.1109/ACCESS.2021.3085496. Full text in Research Archive
• Lenarduzzi, Valentina; Daly, Jeremy; Martini, Antonio; Panichella, Sebastiano & Tamburri, Damian Andrew (2021). Toward a Technical Debt Conceptualization for Serverless Computing. IEEE Software. ISSN 0740-7459. 38(1), p. 40–47. doi: 10.1109/MS.2020.3030786.
• Mårtensson, Torvald; Ståhl, Daniel; Martini, Antonio & Bosch, Jan (2021). Efficient and effective exploratory testing of large-scale software systems. Journal of Systems and Software. ISSN 0164-1212. 174, p. 1–15. doi: 10.1016/j.jss.2020.110890.
• 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.

• Martini, Antonio; Besker, Terese & Bosch, Jan (2020). Process Debt: a First Exploration. In -, - (Eds.), 2020 27TH Asia-Pacific Software Engineering Conference (APSEC). IEEE. ISSN 978-1-7281-9554-4. p. 316–325. doi: 10.1109/APSEC51365.2020.00040.
• Josep, Burgaya Pujols; Bas, Pieter; Martínez-Fernández, Silverio; Martini, Antonio & trendowicz, adam (2020). Skuld: a self-learning tool for impact-driven technical debt management. In Clemente, Izurieta; Matthias, Galster & Felderer, Michael (Ed.), TechDebt '20: Proceedings of the 3rd International Conference on Technical Debt. IEEE. ISSN 978-1-4503-7960-1. p. 113–114. doi: 10.1145/3387906.3388626.
• Besker, Terese; Martini, Antonio & Bosch, Jan (2020). Carrot and stick approaches when managing technical debt. In Clemente, Izurieta; Matthias, Galster & Felderer, Michael (Ed.), TechDebt '20: Proceedings of the 3rd International Conference on Technical Debt. IEEE. ISSN 978-1-4503-7960-1. p. 21–30. doi: 10.1145/3387906.3388619.
• 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
• Lenarduzzi, Valentina; Martini, Antonio; Taibi, Davide & Tamburri, Damian Andrew (2019). Towards surgically-precise technical debt estimation: early results and research roadmap. In Arcelli Fontana, Francesca (Eds.), Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2019. Association for Computing Machinery (ACM). ISSN 978-1-4503-6855-1. p. 37–42. doi: 10.1145/3340482.3342747.
• Mårtensson, Torvald; Martini, Antonio; Ståhl, Daniel & Bosch, Jan (2019). Excellence in Exploratory Testing: Success Factors in Large-Scale Industry Projects. In Franch, Xavier; Männistö, Tomi & Martínez-Fernández, Silverio (Ed.), Product-Focused Software Process Improvement - 20th International Conference, PROFES 2019, Barcelona, Spain, November 27-29, 2019, Proceedings. Springer. ISSN 978-3-030-35332-2. doi: 10.1007/978-3-030-35333-9_21. Show summary

  Based on interviews with 20 interviewees from four case study companies, this paper presents a list of key factors that enable efficient and effective exploratory testing of large-scale software systems. The nine factors are grouped into four themes: “The testers’ knowledge, experience and personality”, “Purpose and scope”, “Ways of working” and “Recording and reporting”. According to the interviewees, exploratory testing is a more creative way to work for the testers, and was therefore considered to make better use of the testers. Exploratory testing was also described as a good way to test system-wide and to test large-scale systems, especially exploratory testing with an end-user perspective. The identified key factors were confirmed by a series of follow-up interviews with the 20 interviewees and a cross-company workshop with 14 participants. This strengthens the generalizability of the findings, supporting that the list of key factors can be applied to projects in a large segment of the software industry. This paper also presents the results from a systematic literature review including 129 publications related to exploratory testing. No publication were found that summarizes the key factors that enable efficient and effective exploratory testing, which supports the novelty of the findings

• Besker, Terese; Martini, Antonio & Bosch, Jan (2019). How Regulations of Safety-Critical Software Affect Technical Debt. In Staron, Miroslaw; Capilla, Rafael & Skavhaug, Amund (Ed.), 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). IEEE. ISSN 978-1-7281-3421-5. doi: 10.1109/SEAA.2019.00020.
• Ståhl, Daniel; Martini, Antonio & Mårtensson, Torvald (2019). Big bangs and small pops: on critical cyclomatic complexity and developer integration behavior. In Sharp, Helen & Whalen, Mike (Ed.), Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, ICSE (SEIP) 2019. IEEE. ISSN 978-1-7281-1760-7. p. 81–90. doi: 10.1109/ICSE-SEIP.2019.00017.
• Besker, Terese; Martini, Antonio & Bosch, Jan (2019). Technical debt triage in backlog management. 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.2019.00010.
• Mamun, Md Abdullah Al; Martini, Antonio; Staron, Miroslaw; Berger, Christian & Hansson, Jorgen (2019). Evolution of technical debt: An exploratory study. CEUR Workshop Proceedings. ISSN 1613-0073. 2476(6), p. 87–102.
• 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
• 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, p. 112–119. doi: 10.1007/978-3-030-30126-2_14.
• Hanssen, Geir Kjetil; Brataas, Gunnar & Martini, Antonio (2019). Identifying Scalability Debt in Open Systems. In Avgeriou, Paris & Schmid, Klaus (Ed.), Proceedings of the Second International Conference on Technical Debt. IEEE Press. ISSN 978-1-7281-3371-3. p. 48–52. doi: 10.1109/TechDebt.2019.00014.
• 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, p. 41–61. doi: 10.1016/j.jss.2019.06.004.
• Besker, Terese; Martini, Antonio; Lokuge, Rumesh Edirisooriya; Blincoe, Kelly & Bosch, Jan (2018). Embracing Technical Debt, from a Startup Company Perspective. In -, - (Eds.), 2018 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE. ISSN 978-1-5386-7870-1. p. 415–425. doi: 10.1109/ICSME.2018.00051. Full text in Research Archive
• 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. p. 105–114. doi: 10.1145/3194164.3194178. Full text in Research Archive
• Martini, Antonio (2018). AnaConDebt: A Tool to Assess and Track Technical Debt. Proceedings - International Conference on Software Engineering. ISSN 0270-5257. p. 55–56. doi: 10.1145/3194164.3194185. Full text in Research Archive
• 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 Cuesta, Carlos E.; Garlan, David & Pérez, Jennifer (Ed.), 12th European Conference on Software Architecture, ECSA 2018, Madrid, Spain, September 24–28, 2018, Proceedings. Springer. ISSN 978-3-030-00760-7. p. 320–335. doi: 10.1007/978-3-030-00761-4_21. Full text in Research Archive
• 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, p. 264–279. doi: 10.1016/j.infsof.2017.08.005.
• 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, p. 42–61. doi: 10.1016/j.scico.2018.03.007. Full text in Research Archive

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• Martini, Antonio; Wimmer, Manuel & Skavhaug, Amund (2020). Proceedings of 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2020). IEEE. ISBN 978-1-7281-9533-9. 600 p.

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