Representative sampling appears rare in empirical software engineering research. Not all
studies need representative samples, but a general lack of representative sampling …

Context: GitHub, nowadays the most popular social coding platform, has become the
reference for mining Open Source repositories, a growing research trend aiming at learning …

Previous studies have shown that there is a non-trivial amount of duplication in source code.
This paper analyzes a corpus of 4.5 million non-fork projects hosted on GitHub representing …

Electric vehicles in a short time will make up the majority of the fleet of vehicles used in
general. This state of affairs will generate huge sets of data, which can be further …

Nowadays, different types of computing-intensive services such as mechanical, aerospace,
civil and environmental applications are often deployed on the cloud since it offers a …

The MS MARCO-passage dataset has been the main large-scale dataset open to the IR
community and it has fostered successfully the development of novel neural retrieval models …

Abstract Context: Deep Learning (DL) frameworks enable developers to build DNN models
without learning the underlying algorithms and models. While some of these DL-based …

GitHub is the largest collaborative source code hosting site built on top of the Git version
control system. The availability of a comprehensive API has made GitHub a target for many …

Software testing is an important phase in the software development lifecycle because it
helps in identifying bugs in a software system before it is shipped into the hand of its end …

Background: Reaching out to professional software developers is a crucial part of empirical
software engineering research. One important method to investigate the state of practice is …