Nyyti Saarimäki

According to our database, Nyyti Saarimäki authored at least 19 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A critical comparison on six static analysis tools: Detection, agreement, and precision.

Valentina Lenarduzzi, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba

J. Syst. Softw., April, 2023

Ignoring Time Dependence in Software Engineering Data. A Mistake.

Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Valentina Lenarduzzi

CoRR, 2023

Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report.

Nyyti Saarimäki, Mikel Robredo, Sira Vegas, Natalia Juristo, David Taibi, Valentina Lenarduzzi

CoRR, 2023

2022

Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering.

Nyyti Saarimäki, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi

Proceedings of the IEEE International Conference on Software Analysis, 2022

2021

An Overview and Comparison of Technical Debt Measurement Tools.

Paris Avgeriou, Davide Taibi, Apostolos Ampatzoglou, Francesca Arcelli Fontana, Terese Besker, Alexander Chatzigeorgiou, Valentina Lenarduzzi, Antonio Martini, Athanasia Moschou, Ilaria Pigazzini, Nyyti Saarimäki, Darius Sas, Saulo S. de Toledo, Angeliki-Agathi Tsintzira

IEEE Softw., 2021

Does code quality affect pull request acceptance? An empirical study.

Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi

J. Syst. Softw., 2021

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision.

Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba

CoRR, 2021

Technical Debt Impacting Lead-Times: An Exploratory Study.

Valentina Lenarduzzi, Antonio Martini, Nyyti Saarimäki, Damian Andrew Tamburri

Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020

Some SonarQube issues have a significant but small effect on faults and changes. A large-scale empirical study.

Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi

J. Syst. Softw., 2020

Does migrating a monolithic system to microservices decrease the technical debt?

Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi

J. Syst. Softw., 2020

On the diffuseness of technical debt items and accuracy of remediation time when using SonarQube.

Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano, Nyyti Saarimäki

Inf. Softw. Technol., 2020

Cohort Studies in Software Engineering: A Vision of the Future.

Nyyti Saarimäki, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo, Davide Taibi

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

Methodological Issues in Observational Studies.

Nyyti Saarimäki

ACM SIGSOFT Softw. Eng. Notes, 2019

Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study.

Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi

CoRR, 2019

Does Migrate a Monolithic System to Microservices Decreases the Technical Debt?

Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi

CoRR, 2019

The Technical Debt Dataset.

Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi

Proceedings of the Fifteenth International Conference on Predictive Models and Data Analytics in Software Engineering, 2019

On the diffuseness of code technical debt in Java projects of the apache ecosystem.

Nyyti Saarimäki, Valentina Lenarduzzi, Davide Taibi

Proceedings of the Second International Conference on Technical Debt, 2019

On the Accuracy of SonarQube Technical Debt Remediation Time.

Nyyti Saarimäki, Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano

Proceedings of the 45th Euromicro Conference on Software Engineering and Advanced Applications, 2019

An Empirical Study on Technical Debt in a Finnish SME.

Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi

Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019