16 citations · 27 across the 5 of their papers we have counts for
6 papers
GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling
Cezar Sas, Andrea Capiluppi, Claudio Di Sipio +2
GitHub is the world's largest host of source code, with more than 150M repositories. However, most of these repositories are not labeled or inadequately so, making it harder for us…
Antipatterns in Software Classification Taxonomies
Cezar Sas, Andrea Capiluppi
Empirical results in software engineering have long started to show that findings are unlikely to be applicable to all software systems, or any domain: results need to be evaluated…
Development Effort Estimation in Free/Open Source Software from Activity in Version Control Systems
Gregorio Robles, Andrea Capiluppi, Jesus M. Gonzalez-Barahona +2
Effort estimation models are a fundamental tool in software management, and used as a forecast for resources, constraints and costs associated to software development. For Free/Ope…
LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs
Cezar Sas, Andrea Capiluppi
Software repository hosting services contain large amounts of open-source software, with GitHub hosting more than 100 million repositories, from new to established ones. Given this…
Using Structural and Semantic Information to Identify Software Components
Cezar Sas, Andrea Capiluppi
Component Based Software Engineering (CBSE) seeks to promote the reuse of software by using existing software modules into the development process. However, the availability of suc…
The Prevalence of Errors in Machine Learning Experiments
Martin Shepperd, Yuchen Guo, Ning Li +7
Context: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct rel…