| The Technical Debt Dataset V Lenarduzzi, N Saarimäki, D Taibi Proceedings of the Fifteenth International Conference on Predictive Models …, 2019 | 92 | 2019 |
| An Overview and Comparison of Technical Debt Measurement Tools PC Avgeriou, D Taibi, A Ampatzoglou, FA Fontana, T Besker, ... IEEE Software, 2020 | 91 | 2020 |
| Empirical standards for software engineering research P Ralph, N Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, M Felderer, ... arXiv preprint arXiv:2010.03525, 2020 | 76 | 2020 |
| Does migrating a monolithic system to microservices decrease the technical debt? V Lenarduzzi, F Lomio, N Saarimäki, D Taibi Journal of Systems and Software 169, 110710, 2020 | 73 | 2020 |
| On the Accuracy of SonarQube Technical Debt Remediation Time N Saarimäki, MT Baldassarre, V Lenarduzzi, S Romano Euromicro Conference Series on Software Engineering and Advanced …, 2019 | 47 | 2019 |
| On the Diffuseness of Technical Debt Items and Accuracy of Remediation Time When Using SonarQube MT Baldassarre, V Lenarduzzi, S Romano, N Saarimäki Information and Software Technology 128, 106377, 2020 | 46 | 2020 |
| On the Diffuseness of Code Technical Debt in Java Projects of the Apache Ecosystem N Saarimäki, V Lenarduzzi, D Taibi International Conference on Technical Debt (TechDebt 2019), 2019 | 40* | 2019 |
| Some SonarQube Issues have a Significant but Small Effect on Faults and Changes. A large-scale empirical study V Lenarduzzi, N Saarimäki, D Taibi Journal of Systems and Software 170, 110750, 2020 | 36 | 2020 |
| Does Code Quality Affect Pull Request Acceptance? An empirical study V Lenarduzzi, V Nikkola, N Saarimäki, D Taibi Journal of Systems and Software, 2020 | 29 | 2020 |
| On the diffuseness of code technical debt in open source projects N Saarimäki, V Lenarduzzi, D Taibi International conference on technical debt (techdebt 2019), 2019 | 18 | 2019 |
| An Empirical Study on Technical Debt in a Finnish SME V Lenarduzzi, T Orava, N Saarimäki, K Systa, D Taibi 13th International Symposium on Empirical Software Engineering and …, 2019 | 16 | 2019 |
| A critical comparison on six static analysis tools: detection, agreement, and precision V Lenarduzzi, S Lujan, N Saarimaki, F Palomba arXiv preprint arXiv:2101.08832, 2021 | 14 | 2021 |
| A data collection and supplementary control platform of a modern building for smart energy applications A Hildén, P Järventausta, S Repo, K Systä, V Heikkilä, O Hylli, ... Sustainable Energy, Grids and Networks 32, 100928, 2022 | 6 | 2022 |
| Technical Debt Impacting Lead-Times: An Exploratory Study V Lenarduzzi, A Martini, N Saarimäki, DA Tamburri Euromicro Conference on Software Engineering and Advanced Applications …, 2021 | 6 | 2021 |
| Methodological Issues in Observational Studies N Saarimäki International Doctoral Symposium on Empirical Software Engineering (IDoESE), 2019 | 4 | 2019 |
| Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering N Saarimäki, S Moreschini, F Lomio, R Penaloza, V Lenarduzzi IEEE International Conference on Software Analysis, Evolution and Reengineering, 2022 | 3 | 2022 |
| Cohort Studies in Software Engineering: A Vision of the Future N Saarimäki, V Lenarduzzi, S Vegas, N Juristo, D Taibi 14th International Symposium on Empirical Software Engineering and …, 2020 | 1 | 2020 |
| Ignoring Time Dependence in Data. A mistake M Robredo, N Saarimaki, R Peñaloza, V Lenarduzzi arXiv preprint arXiv:2311.03114, 2023 | | 2023 |
| Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report N Saarimaki, MR Manero, N Juristo, D Taibi, V Lenarduzzi arXiv preprint arXiv:2306.02034, 2023 | | 2023 |
| Applying Retrospective Cohort Study Methodology in Mining Software Repositories Studies N Saarimäki Tampere University, 2023 | | 2023 |
Valentina LenarduzziAssistant Professor (Tenure Track) - University of Oulu (M3S)Verified email at oulu.fi
