102 citations · 226 across the 5 of their papers we have counts for
5 papers
Evaluating Time-Dependent Methods and Seasonal Effects in Code Technical Debt Prediction
Mikel Robredo, Nyyti Saarimaki, Matteo Esposito +3
Background. Code Technical Debt (Code TD) prediction has gained significant attention in recent software engineering research. However, no standardized approach to Code TD predicti…
Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report
Nyyti Saarimaki, Mikel Robredo, Sira vegas +3
[Context] Microservices enable the decomposition of applications into small and independent services connected together. The independence between services could positively affect t…
Empirical Standards for Software Engineering Research
Paul Ralph, Nauman bin Ali, Sebastian Baltes +39
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e.g. a questionnaire survey). The ACM SIGSOFT Paper and Peer…
Some SonarQube Issues have a Significant but SmallEffect on Faults and Changes. A large-scale empirical study
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
Context. Companies commonly invest effort to remove technical issues believed to impact software qualities, such as removing anti-patterns or coding styles violations. Objective. O…
The Technical Debt Dataset
Valentina Lenarduzzi, Nyyti Saarimäki, Davide Taibi
Technical Debt analysis is increasing in popularity as nowadays researchers and industry are adopting various tools for static code analysis to evaluate the quality of their code.…