activity
20162021
most citedOn Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

q-fin.ST20212 cited

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…

cs.SE2018

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…

cs.SE2018

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…

cs.SE2017

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…

cs.SE2016

Mining Valence, Arousal, and Dominance - Possibilities for Detecting Burnout and Productivity?

Mika Mäntylä, Bram Adams, Giuseppe Destefanis +2

Similar to other industries, the software engineering domain is plagued by psychological diseases such as burnout, which lead developers to lose interest, exhibit lower activity an…