2 citations · 2 across the 2 of their papers we have counts for
7 papers
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning
Marco Ortu, Nicola Uras, Claudio Conversano +2
This work aims to analyse the predictability of price movements of cryptocurrencies on both hourly and daily data observed from January 2017 to January 2021, using deep learning al…
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…
On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint
Steve Counsell, Mahir Arzoky, Giuseppe Destefanis +1
[Background] Refactoring has matured over the past twenty years to become part of a developer's toolkit. However, many fundamental research questions still remain largely unexplore…
Analysing Developers Affectiveness through Markov chain Models
Giuseppe Destefanis, Marco Ortu, Steve Counsell +3
In this paper, we present an analysis of more than 500K comments from open-source repositories of software systems. Our aim is to empirically determine how developers interact with…
Smart Contracts Software Metrics: a First Study
Roberto Tonelli, Giuseppe Destefanis, Michele Marchesi +1
Smart contracts (SC) are software codes which reside and run over a blockchain. The code can be written in different languages with the common purpose of implementing various kinds…
Measuring Affectiveness and Effectiveness in Software Systems
Giuseppe Destefanis, Marco Ortu, Steve Counsell +2
The summary presented in this paper highlights the results obtained in a four-years project aiming at analyzing the development process of software artifacts from two points of vie…