Nyyti Saarimäki

29 papers A 4B 2Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Does microservice adoption impact the velocity? A cohort study.
Empir. Softw. Eng.
Nyyti Saarimäki, Mikel Robredo, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo, Davide Taibi
2025 J jnl
Evaluating time-dependent methods and seasonal effects in code technical debt prediction.
J. Syst. Softw.
Mikel Robredo, Nyyti Saarimäki, Matteo Esposito, Davide Taibi, Rafael Peñaloza, Valentina Lenarduzzi
2024 A conf
Cohort Studies for Mining Software Repositories.
MSR
Nyyti Saarimäki, Sira Vegas, Valentina Lenarduzzi, Davide Taibi, Mikel Robredo
2024 — conf
Comparing Multivariate Time Series Analysis and Machine Learning Performance for Technical Debt Prediction: The SQALE Index Case.
TechDebt@ICSE
Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Davide Taibi, Valentina Lenarduzzi
2024 J jnl
Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction.
CoRR
Mikel Robredo, Nyyti Saarimäki, Davide Taibi, Rafael Peñaloza, Valentina Lenarduzzi
2024 J jnl
Taxonomy of Software Log Smells.
CoRR
Nyyti Saarimäki, Donghwan Shin, Domenico Bianculli
2023 J jnl
A critical comparison on six static analysis tools: Detection, agreement, and precision.
J. Syst. Softw.
Valentina Lenarduzzi, Fabiano Pecorelli, Nyyti Saarimäki, Savanna Lujan, Fabio Palomba
2023 J jnl
Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report.
CoRR
Nyyti Saarimäki, Mikel Robredo, Sira Vegas, Natalia Juristo, Davide Taibi, Valentina Lenarduzzi
2023 J jnl
Ignoring Time Dependence in Software Engineering Data. A Mistake.
CoRR
Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Valentina Lenarduzzi
2022 A conf
Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering.
SANER
Nyyti Saarimäki, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi
2021 J jnl
A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision.
CoRR
Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba
2021 J jnl
An Overview and Comparison of Technical Debt Measurement Tools.
IEEE Softw.
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
2021 J jnl
Does code quality affect pull request acceptance? An empirical study.
J. Syst. Softw.
Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi
2021 B conf
Technical Debt Impacting Lead-Times: An Exploratory Study.
SEAA
Valentina Lenarduzzi, Antonio Martini, Nyyti Saarimäki, Damian Andrew Tamburri
2020 A conf
Cohort Studies in Software Engineering: A Vision of the Future.
ESEM
Nyyti Saarimäki, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo, Davide Taibi
2020 J jnl
Does migrating a monolithic system to microservices decrease the technical debt?
J. Syst. Softw.
Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi
2020 J jnl
On the diffuseness of technical debt items and accuracy of remediation time when using SonarQube.
Inf. Softw. Technol.
Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano, Nyyti Saarimäki
2020 J jnl
Some SonarQube issues have a significant but small effect on faults and changes. A large-scale empirical study.
J. Syst. Softw.
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
2019 A conf
An Empirical Study on Technical Debt in a Finnish SME.
ESEM
Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi
2019 J jnl
An Empirical Study on Technical Debt in a Finnish SME.
CoRR
Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi
2019 J jnl
Does Code Quality Affect Pull Request Acceptance? An empirical study.
CoRR
Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi
2019 J jnl
Does Migrate a Monolithic System to Microservices Decreases the Technical Debt?
CoRR
Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi
2019 J jnl
Methodological Issues in Observational Studies.
CoRR
Nyyti Saarimäki
2019 J jnl
Methodological Issues in Observational Studies.
ACM SIGSOFT Softw. Eng. Notes
Nyyti Saarimäki
2019 B conf
On the Accuracy of SonarQube Technical Debt Remediation Time.
SEAA
Nyyti Saarimäki, Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano
2019 — conf
On the diffuseness of code technical debt in Java projects of the apache ecosystem.
TechDebt@ICSE
Nyyti Saarimäki, Valentina Lenarduzzi, Davide Taibi
2019 J jnl
Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study.
CoRR
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
2019 — conf
The Technical Debt Dataset.
PROMISE
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
2019 J jnl
The Technical Debt Dataset.
CoRR
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi