Pandemic Programming: How COVID-19 affects software developers and how their organizations can help P Ralph, S Baltes, G Adisaputri, R Torkar, V Kovalenko, M Kalinowski, ... https://link.springer.com/article/10.1007%2Fs10664-020-09875-y, 2020 | 323 | 2020 |
Sentiment polarity detection for software development F Calefato, F Lanubile, F Maiorano, N Novielli Proceedings of the 40th International Conference on Software Engineering …, 2018 | 297 | 2018 |
The challenges of sentiment detection in the social programmer ecosystem N Novielli, F Calefato, F Lanubile Proceedings of the 7th international workshop on social software engineering …, 2015 | 147 | 2015 |
How to ask for technical help? Evidence-based guidelines for writing questions on Stack Overflow F Calefato, F Lanubile, N Novielli Information and software technology 94, 186-207, 2018 | 145 | 2018 |
Overview of the evalita 2016 sentiment polarity classification task F Barbieri, V Basile, D Croce, M Nissim, N Novielli, V Patti CEUR Workshop Proceedings 1749, 2016 | 143 | 2016 |
Emotxt: a toolkit for emotion recognition from text F Calefato, F Lanubile, N Novielli 2017 seventh international conference on Affective Computing and Intelligent …, 2017 | 142 | 2017 |
Towards discovering the role of emotions in stack overflow N Novielli, F Calefato, F Lanubile Proceedings of the 6th international workshop on social software engineering …, 2014 | 140 | 2014 |
The role of social media in affective trust building in customer–supplier relationships F Calefato, F Lanubile, N Novielli Electronic Commerce Research 15, 453-482, 2015 | 126 | 2015 |
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 | 113 | 2018 |
Emotion detection using noninvasive low cost sensors D Girardi, F Lanubile, N Novielli 2017 seventh international conference on affective computing and intelligent …, 2017 | 107 | 2017 |
Mining successful answers in stack overflow F Calefato, F Lanubile, MC Marasciulo, N Novielli 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 430-433, 2015 | 101 | 2015 |
Anger and its direction in collaborative software development D Gachechiladze, F Lanubile, N Novielli, A Serebrenik 2017 IEEE/ACM 39th International Conference on Software Engineering: New …, 2017 | 98 | 2017 |
Confusion in code reviews: Reasons, impacts, and coping strategies F Ebert, F Castor, N Novielli, A Serebrenik 2019 IEEE 26th international conference on software analysis, evolution and …, 2019 | 91 | 2019 |
User modeling and adaptation in health promotion dialogs with an animated character F de Rosis, N Novielli, V Carofiglio, A Cavalluzzi, B De Carolis Journal of biomedical informatics 39 (5), 514-531, 2006 | 89 | 2006 |
A gold standard for emotion annotation in stack overflow N Novielli, F Calefato, F Lanubile Proceedings of the 15th international conference on mining software …, 2018 | 77 | 2018 |
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 | 71 | 2020 |
User attitude towards an embodied conversational agent: Effects of the interaction mode N Novielli, F de Rosis, I Mazzotta Journal of Pragmatics 42 (9), 2385-2397, 2010 | 70 | 2010 |
Opinion mining for software development: a systematic literature review B Lin, N Cassee, A Serebrenik, G Bavota, N Novielli, M Lanza ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-41, 2022 | 68 | 2022 |
Recognizing developers' emotions while programming D Girardi, N Novielli, D Fucci, F Lanubile Proceedings of the ACM/IEEE 42nd international conference on software …, 2020 | 59 | 2020 |
Bootstrapping a lexicon for emotional arousal in software engineering MV Mäntylä, N Novielli, F Lanubile, M Claes, M Kuutila 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 54 | 2017 |