Nyyti Saarimäki

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Methodological Issues

Software Engineering

Open Source Java

Top Venues

J. Syst. Softw.

Publications

Nyyti Saarimäki, Sira Vegas, Valentina Lenarduzzi, Davide Taibi, Mikel Robredo
Cohort Studies for Mining Software Repositories. MSR (2024)
Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Davide Taibi, Valentina Lenarduzzi
Comparing Multivariate Time Series Analysis and Machine Learning Performance for Technical Debt Prediction: The SQALE Index Case. TechDebt@ICSE (2024)
Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Valentina Lenarduzzi
Ignoring Time Dependence in Software Engineering Data. A Mistake. CoRR (2023)
Nyyti Saarimäki, Mikel Robredo Manero, Sira Vegas, Natalia Juristo, David Taibi, Valentina Lenarduzzi
Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report. CoRR (2023)
Valentina Lenarduzzi, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba
A critical comparison on six static analysis tools: Detection, agreement, and precision. J. Syst. Softw. 198 (2023)
Nyyti Saarimäki, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi
Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering. SANER (2022)
Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi
Does code quality affect pull request acceptance? An empirical study. J. Syst. Softw. 171 (2021)
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
An Overview and Comparison of Technical Debt Measurement Tools. IEEE Softw. 38 (3) (2021)
Valentina Lenarduzzi, Antonio Martini, Nyyti Saarimäki, Damian Andrew Tamburri
Technical Debt Impacting Lead-Times: An Exploratory Study. SEAA (2021)
Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba
A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. CoRR (2021)
Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano, Nyyti Saarimäki
On the diffuseness of technical debt items and accuracy of remediation time when using SonarQube. Inf. Softw. Technol. 128 (2020)
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
Some SonarQube issues have a significant but small effect on faults and changes. A large-scale empirical study. J. Syst. Softw. 170 (2020)
Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi
Does migrating a monolithic system to microservices decrease the technical debt? J. Syst. Softw. 169 (2020)
Nyyti Saarimäki, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo, Davide Taibi
Cohort Studies in Software Engineering: A Vision of the Future. ESEM (2020)
Nyyti Saarimäki, Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano
On the Accuracy of SonarQube Technical Debt Remediation Time. SEAA (2019)
Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi
An Empirical Study on Technical Debt in a Finnish SME. CoRR (2019)
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
The Technical Debt Dataset. CoRR (2019)
Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi
Does Code Quality Affect Pull Request Acceptance? An empirical study. CoRR (2019)
Nyyti Saarimäki
Methodological Issues in Observational Studies. CoRR (2019)
Nyyti Saarimäki, Valentina Lenarduzzi, Davide Taibi
On the diffuseness of code technical debt in Java projects of the apache ecosystem. TechDebt@ICSE (2019)
Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi
An Empirical Study on Technical Debt in a Finnish SME. ESEM (2019)
Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi
Does Migrate a Monolithic System to Microservices Decreases the Technical Debt? CoRR (2019)
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
The Technical Debt Dataset. PROMISE (2019)
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study. CoRR (2019)
Nyyti Saarimäki
Methodological Issues in Observational Studies. ACM SIGSOFT Softw. Eng. Notes 44 (3) (2019)