| A benchmark study on sentiment analysis for software engineering research N Novielli, D Girardi, F Lanubile Proceedings of the 15th International Conference on Mining Software …, 2018 | 118 | 2018 |
| Emotion detection using noninvasive low cost sensors D Girardi, F Lanubile, N Novielli 2017 seventh international conference on affective computing and intelligent …, 2017 | 111 | 2017 |
| Can we use se-specific sentiment analysis tools in a cross-platform setting? N Novielli, F Calefato, D Dongiovanni, D Girardi, F Lanubile Proceedings of the 17th International Conference on Mining Software …, 2020 | 82 | 2020 |
| Emotions and perceived productivity of software developers at the workplace D Girardi, F Lanubile, N Novielli, A Serebrenik IEEE Transactions on Software Engineering 48 (9), 3326-3341, 2021 | 78 | 2021 |
| Recognizing developers' emotions while programming D Girardi, N Novielli, D Fucci, F Lanubile Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 76 | 2020 |
| A replication study on code comprehension and expertise using lightweight biometric sensors D Fucci, D Girardi, N Novielli, L Quaranta, F Lanubile 2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC …, 2019 | 43 | 2019 |
| A benchmark study on sentiment analysis for software engineering research. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) N Novielli, D Girardi, F Lanubile IEEE 16, 364-375, 2018 | 24 | 2018 |
| Sensing developers' emotions: The design of a replicated experiment D Girardi, F Lanubile, N Novielli, D Fucci Proceedings of the 3rd International Workshop on Emotion Awareness in …, 2018 | 20 | 2018 |
| Towards recognizing the emotions of developers using biometrics: The design of a field study D Girardi, F Lanubile, N Novielli, L Quaranta, A Serebrenik 2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software …, 2019 | 17 | 2019 |
| Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews A Ferrari, T Huichapa, P Spoletini, N Novielli, D Fucci, D Girardi arXiv preprint arXiv:2104.02410, 2021 | 12 | 2021 |
| The way it makes you feel predicting users’ engagement during interviews with biofeedback and supervised learning D Girardi, A Ferrari, N Novielli, P Spoletini, D Fucci, T Huichapa 2020 IEEE 28th International Requirements Engineering Conference (RE), 32-43, 2020 | 10 | 2020 |
| A replication study on code comprehension and expertise using lightweight biometric sensors. In 2019 IEEE/ACM 27th International Conference on Program Comprehension (ICPC) D Fucci, D Girardi, N Novielli, L Quaranta, F Lanubile IEEE, 311ś322, 2019 | 5 | 2019 |
| Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews A Ferrari, T Huichapa, P Spoletini, N Novielli, D Fucci, D Girardi ACM Transactions on Software Engineering and Methodology 33 (4), 1-36, 2024 | 1 | 2024 |
| Using Voice and Biofeedback to Predict User Engagement during Product Feedback Interviews T HUICHAPA, P SPOLETINI, N NOVIELLI, D FUCCI, D GIRARDI | | 2023 |
| A Partial Replication of Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise D Fucci, D Girardi, N Novielli, L Quaranta, F Lanubile The Second ROSE Festival, 2019 | | 2019 |
| The UNIBA System at the EVALITA 2018 Italian Emoji Prediction Task L Siciliani, D Girardi EVALITA Evaluation of NLP and Speech Tools for Italian 12, 129, 2018 | | 2018 |
| PhD Program in Computer Science and Mathematics XXXIII cycle D Girardi | | |
| SEmotion 2019 JO Johanssen, JP Bernius, D Girardi, F Lanubile, A Moro, L Quaranta, ... | | |
| Classificazione dei livelli di attivazione e valenza emotiva mediante sensori biometrici F Lanubile, D Girardi | | |
| 2020 IEEE 28th International Requirements Engineering Conference (RE) F Dechesne, D Marcos, J Kramer, S Robertson, A Schlutter, A Vogelsang, ... | | |
