activity
20172021
most citedA Benchmark Study on Sentiment Analysis for Software Engineering Research

68 citations · 193 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SE2021

Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews

Alessio Ferrari, Thaide Huichapa, Paola Spoletini +3

Capturing users' engagement is crucial for gathering feedback about the features of a software product. In a market-driven context, current approaches to collect and analyze users'…

cs.SE2020★ 64 cited

Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting?

Nicole Novielli, Fabio Calefato, Davide Dongiovanni +2

In this paper, we address the problem of using sentiment analysis tools 'off-the-shelf,' that is when a gold standard is not available for retraining. We evaluate the performance o…

cs.SE2020★ 61 cited

Recognizing Developers' Emotions while Programming

Daniela Girardi, Nicole Novielli, Davide Fucci +1

Developers experience a wide range of emotions during programming tasks, which may have an impact on job performance. In this paper, we present an empirical study aimed at (i) inve…

cs.SE2019

A Replication Study on Code Comprehension and Expertise using Lightweight Biometric Sensors

Davide Fucci, Daniela Girardi, Nicole Novielli +2

Code comprehension has been recently investigated from physiological and cognitive perspectives through the use of medical imaging. Floyd et al (i.e., the original study) used fMRI…

cs.SE2018★ 68 cited

A Benchmark Study on Sentiment Analysis for Software Engineering Research

Nicole Novielli, Daniela Girardi, Filippo Lanubile

A recent research trend has emerged to identify developers' emotions, by applying sentiment analysis to the content of communication traces left in collaborative development enviro…

cs.HC2017

Emotion Detection Using Noninvasive Low Cost Sensors

Daniela Girardi, Filippo Lanubile, Nicole Novielli

Emotion recognition from biometrics is relevant to a wide range of application domains, including healthcare. Existing approaches usually adopt multi-electrodes sensors that could…