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ORCIDNyyti Saarimäki
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2020 – today
- 2022
[c7]Nyyti Saarimäki
, Sergio Moreschini, Francesco Lomio, Rafael Peñaloza, Valentina Lenarduzzi:
Towards a Robust Approach to Analyze Time-Dependent Data in Software Engineering. SANER 2022: 36-40- 2021
- [j6]Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi:
Does code quality affect pull request acceptance? An empirical study. J. Syst. Softw. 171: 110806 (2021) - [j5]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): 61-71 (2021) - [c6]Valentina Lenarduzzi, Antonio Martini, Nyyti Saarimäki, Damian Andrew Tamburri:
Technical Debt Impacting Lead-Times: An Exploratory Study. SEAA 2021: 188-195 - [i7]Valentina Lenarduzzi, Savanna Lujan, Nyyti Saarimäki, Fabio Palomba:
A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision. CoRR abs/2101.08832 (2021) - 2020
- [j4]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: 106377 (2020) - [j3]Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki, Davide Taibi:
Does migrating a monolithic system to microservices decrease the technical debt? J. Syst. Softw. 169: 110710 (2020) - [j2]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: 110750 (2020) - [c5]Nyyti Saarimäki, Valentina Lenarduzzi, Sira Vegas, Natalia Juristo, Davide Taibi:
Cohort Studies in Software Engineering: A Vision of the Future. ESEM 2020: 33:1-33:6
2010 – 2019
- 2019
- [j1]Nyyti Saarimäki:
Methodological Issues in Observational Studies. ACM SIGSOFT Softw. Eng. Notes 44(3): 24 (2019) - [c4]Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi:
An Empirical Study on Technical Debt in a Finnish SME. ESEM 2019: 1-6 - [c3]Nyyti Saarimäki, Maria Teresa Baldassarre, Valentina Lenarduzzi, Simone Romano:
On the Accuracy of SonarQube Technical Debt Remediation Time. SEAA 2019: 317-324 - [c2]Nyyti Saarimäki, Valentina Lenarduzzi, Davide Taibi:
On the diffuseness of code technical debt in Java projects of the apache ecosystem. TechDebt@ICSE 2019: 98-107 - [c1]Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi:
The Technical Debt Dataset. PROMISE 2019: 2-11 - [i6]Nyyti Saarimäki, Francesco Lomio, Valentina Lenarduzzi, Davide Taibi:
Does Migrate a Monolithic System to Microservices Decreases the Technical Debt? CoRR abs/1902.06282 (2019) - [i5]Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi:
The Technical Debt Dataset. CoRR abs/1908.00827 (2019) - [i4]Valentina Lenarduzzi, Teemu Orava, Nyyti Saarimäki, Kari Systä, Davide Taibi:
An Empirical Study on Technical Debt in a Finnish SME. CoRR abs/1908.01502 (2019) - [i3]Nyyti Saarimäki:
Methodological Issues in Observational Studies. CoRR abs/1908.04366 (2019) - [i2]Valentina Lenarduzzi, Vili Nikkola, Nyyti Saarimäki, Davide Taibi:
Does Code Quality Affect Pull Request Acceptance? An empirical study. CoRR abs/1908.09321 (2019) - [i1]Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi:
Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study. CoRR abs/1908.11590 (2019)
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last updated on 2022-10-04 23:10 CEST by the dblp team
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