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pro vyhledávání: '"Novielli, Nicole"'
As researchers, we are now witnessing a fundamental change in our technologically-enabled world due to the advent and diffusion of highly disruptive technologies such as generative AI, Augmented Reality (AR) and Virtual Reality (VR). In particular, s
Externí odkaz:
http://arxiv.org/abs/2402.13329
Publikováno v:
In The Journal of Systems & Software April 2024 210
Autor:
Ferrari, Alessio, Huichapa, Thaide, Spoletini, Paola, Novielli, Nicole, Fucci, Davide, Girardi, Daniela
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' feedback are based on techniques leveraging information extracted fro
Externí odkaz:
http://arxiv.org/abs/2104.02410
Discussions is a new feature of GitHub for asking questions or discussing topics outside of specific Issues or Pull Requests. Before being available to all projects in December 2020, it had been tested on selected open source software projects. To un
Externí odkaz:
http://arxiv.org/abs/2102.05230
Publikováno v:
Empirical Software Engineering, 2021
Sentiment analysis methods have become popular for investigating human communication, including discussions related to software projects. Since general-purpose sentiment analysis tools do not fit well with the information exchanged by software develo
Externí odkaz:
http://arxiv.org/abs/2010.10172
Autor:
Ralph, Paul, Baltes, Sebastian, Adisaputri, Gianisa, Torkar, Richard, Kovalenko, Vladimir, Kalinowski, Marcos, Novielli, Nicole, Yoo, Shin, Devroey, Xavier, Tan, Xin, Zhou, Minghui, Turhan, Burak, Hoda, Rashina, Hata, Hideaki, Robles, Gregorio, Fard, Amin Milani, Alkadhi, Rana
Publikováno v:
Empirical Software Engineering, 2020
Context. As a novel coronavirus swept the world in early 2020, thousands of software developers began working from home. Many did so on short notice, under difficult and stressful conditions. Objective. This study investigates the effects of the pand
Externí odkaz:
http://arxiv.org/abs/2005.01127
Publikováno v:
IEEE Software May/June 2020, Vol. 37, No. 3, pp. 86-91
Do you like your code? What kind of code makes developers happiest? What makes them angriest? Is it possible to monitor the mood of a large team of coders to determine when and where a codebase needs additional help?
Externí odkaz:
http://arxiv.org/abs/2004.11005
Publikováno v:
17th International Conference on Mining Software Repositories (MSR '20), October 5--6, 2020, Seoul, Republic of Korea
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 of four SE-specific tools in a cross-platform setting, i.e., on a test
Externí odkaz:
http://arxiv.org/abs/2004.00300
Publikováno v:
In Proceedings of the 42nd International Conference on Software Engineering, Seoul, Republic of Korea, May 23-29, 2020 (ICSE '20),12 pages
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) investigating the link between emotion and progress, (ii) understanding th
Externí odkaz:
http://arxiv.org/abs/2001.09177
In open-source software (OSS), the design of usability is often influenced by the discussions among community members on platforms such as issue tracking systems (ITSs). However, digesting the rich information embedded in issue discussions can be a m
Externí odkaz:
http://arxiv.org/abs/2001.06067