8 citations · 8 across the 2 of their papers we have counts for
4 papers
Fault Prediction based on Software Metrics and SonarQube Rules. Machine or Deep Learning?
Francesco Lomio, Sergio Moreschini, Valentina Lenarduzzi
Background. Developers spend more time fixing bugs and refactoring the code to increase the maintainability than developing new features. Researchers investigated the code quality…
Are SonarQube Rules Inducing Bugs?
Valentina Lenarduzzi, Francesco Lomio, Heikki Huttunen +1
Background. The popularity of tools for analyzing Technical Debt, and particularly the popularity of SonarQube, is increasing rapidly. SonarQube proposes a set of coding rules, whi…
Surface Type Classification for Autonomous Robot Indoor Navigation
Francesco Lomio, Erjon Skenderi, Damoon Mohamadi +3
In this work we describe the preparation of a time series dataset of inertial measurements for determining the surface type under a wheeled robot. The data consists of over 7600 la…
Does Migrate a Monolithic System to Microservices Decrease the Technical Debt?
Valentina Lenarduzzi, Francesco Lomio, Nyyti Saarimäki +1
Background. The migration from monolithic systems to microservices involves deep refactoring of the systems. Therefore, the migration usually has a big economic impact and companie…