Nyyti Saarimäki
Nyyti Saarimäki
Tampere University
Verified email at - Homepage
Cited by
Cited by
The Technical Debt Dataset
V Lenarduzzi, N Saarimäki, D Taibi
Proceedings of the Fifteenth International Conference on Predictive Models …, 2019
An Overview and Comparison of Technical Debt Measurement Tools
PC Avgeriou, D Taibi, A Ampatzoglou, FA Fontana, T Besker, ...
IEEE Software, 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
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
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
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
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
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
Does Code Quality Affect Pull Request Acceptance? An empirical study
V Lenarduzzi, V Nikkola, N Saarimäki, D Taibi
Journal of Systems and Software, 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
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
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
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
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
Methodological Issues in Observational Studies
N Saarimäki
International Doctoral Symposium on Empirical Software Engineering (IDoESE), 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
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
Ignoring Time Dependence in Data. A mistake
M Robredo, N Saarimaki, R Peñaloza, V Lenarduzzi
arXiv preprint arXiv:2311.03114, 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
Applying Retrospective Cohort Study Methodology in Mining Software Repositories Studies
N Saarimäki
Tampere University, 2023
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