An Overview and Comparison of Technical Debt Measurement Tools PC Avgeriou, D Taibi, A Ampatzoglou, FA Fontana, T Besker, ... IEEE Software, 2020 | 120 | 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 | 107 | 2020 |
The Technical Debt Dataset V Lenarduzzi, N Saarimäki, D Taibi Proceedings of the Fifteenth International Conference on Predictive Models …, 2019 | 106 | 2019 |
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 | 88 | 2020 |
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 | 56 | 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 | 55 | 2019 |
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 | 50* | 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 | 47 | 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 | 39 | 2020 |
A critical comparison on six static analysis tools: Detection, agreement, and precision V Lenarduzzi, F Pecorelli, N Saarimaki, S Lujan, F Palomba Journal of Systems and Software 198, 111575, 2023 | 29 | 2023 |
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 | 20 | 2019 |
Empirical standards for software engineering research (2021) P Ralph, N bin Ali, S Baltes, D Bianculli, J Diaz, Y Dittrich, N Ernst, ... arXiv preprint arXiv:2010.03525, 2010 | 16 | 2010 |
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 | 10 | 2019 |
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 | 8 | 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 | 8 | 2021 |
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 | 5 | 2022 |
Methodological Issues in Observational Studies N Saarimäki International Doctoral Symposium on Empirical Software Engineering (IDoESE), 2019 | 4 | 2019 |
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 | 2 | 2020 |
Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report N Saarimaki, M Robredo, N Juristo, D Taibi, V Lenarduzzi arXiv preprint arXiv:2306.02034, 2023 | 1 | 2023 |
Cohort Studies for Mining Software Repositories M Robredo, N Saarimaki, V Lenarduzzi, S Vegas, D Taibi Proceedings of the 21st International Conference on Mining Software …, 2024 | | 2024 |