Antonio Martini

Associate Professor - Programming
Image of Antonio Martini
Norwegian version of this page
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Visiting address Gaustadalléen 23B 0373 Oslo
Postal address Postboks 1080 0316 Oslo

All publications:

https://dblp.uni-trier.de/pers/hd/m/Martini:Antonio

LinkedIn profile:

https://www.linkedin.com/in/antmartini/

Publications

  • 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
  • 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.
  • 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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Published Nov. 8, 2017 3:15 PM - Last modified Aug. 24, 2021 11:27 AM

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