170 citations · 838 across the 33 of their papers we have counts for
26 papers · 1 filter
From Early Adoption to Sustained Use: Understanding GenAI Usage Among Software Developers in Italian SMEs
Fabio Calefato, Alexandra Pajonk, Victoria Jackson +3
Generative AI tools are rapidly transforming software development practice, prompting unprecedented research interest. However, existing studies have predominantly examined initial…
Exploring Engagement in Hybrid Meetings
Daniela Grassi, Fabio Calefato, Darja Smite +2
Background. The widespread adoption of hybrid work following the COVID-19 pandemic has fundamentally transformed software development practices, introducing new challenges in commu…
A Multivocal Literature Review on the Benefits and Limitations of Automated Machine Learning Tools
Kelly Azevedo, Luigi Quaranta, Fabio Calefato +1
Context. Advancements in Machine Learning (ML) are revolutionizing every application domain, driving unprecedented transformations and fostering innovation. However, despite these…
Assessing the Use of AutoML for Data-Driven Software Engineering
Fabio Calefato, Luigi Quaranta, Filippo Lanubile +1
Background. Due to the widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML) for building software applications, companies are struggling to recruit employe…
A Lot of Talk and a Badge: An Exploratory Analysis of Personal Achievements in GitHub
Fabio Calefato, Luigi Quaranta, Filippo Lanubile
Context. GitHub has introduced a new gamification element through personal achievements, whereby badges are unlocked and displayed on developers' personal profile pages in recognit…
A Preliminary Investigation of MLOps Practices in GitHub
Fabio Calefato, Filippo Lanubile, Luigi Quaranta
Background. The rapid and growing popularity of machine learning (ML) applications has led to an increasing interest in MLOps, that is, the practice of continuous integration and d…
Pynblint: a Static Analyzer for Python Jupyter Notebooks
Luigi Quaranta, Fabio Calefato, Filippo Lanubile
Jupyter Notebook is the tool of choice of many data scientists in the early stages of ML workflows. The notebook format, however, has been criticized for inducing bad programming p…
Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?
Fabio Calefato, Filippo Lanubile
Assessing the personality of software engineers may help to match individual traits with the characteristics of development activities such as code review and testing, as well as s…
What Makes Agile Software Development Agile?
Marco Kuhrmann, Paolo Tell, Regina Hebig +44
Together with many success stories, promises such as the increase in production speed and the improvement in stakeholders' collaboration have contributed to making agile a transfor…
Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists
Filippo Lanubile, Fabio Calefato, Luigi Quaranta +3
The transition from AI/ML models to production-ready AI-based systems is a challenge for both data scientists and software engineers. In this paper, we report the results of a work…
Will You Come Back to Contribute? Investigating the Inactivity of OSS Core Developers in GitHub
Fabio Calefato, Marco Aurelio Gerosa, Giuseppe Iaffaldano +2
Several Open Source Software (OSS) projects depend on the continuity of their development communities to remain sustainable. Understanding how developers become inactive or why the…
Assessment of Off-the-Shelf SE-specific Sentiment Analysis Tools: An Extended Replication Study
Nicole Novielli, Fabio Calefato, Filippo Lanubile +1
Sentiment analysis methods have become popular for investigating human communication, including discussions related to software projects. Since general-purpose sentiment analysis t…
Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE
Nicole Novielli, Fabio Calefato, Filippo Lanubile
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 whe…
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…
A Case Study on Tool Support for Collaboration in Agile Development
Fabio Calefato, Andrea Giove, Marco Losavio +1
We report on a longitudinal case study conducted at the Italian site of a large software company to further our understanding of how development and communication tools can be impr…
The Impact of Dynamics of Collaborative Software Engineering on Introverts: A Study Protocol
Ingrid Nunes, Christoph Treude, Fabio Calefato
Background: Collaboration among software engineers through face-to-face discussions in teams has been promoted since the adoption of agile methods. However, these discussions might…
A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem
Fabio Calefato, Filippo Lanubile, Bogdan Vasilescu
Context: Large-scale distributed projects are typically the results of collective efforts performed by multiple developers with heterogeneous personalities. Objective: We aim to fi…
An empirical assessment of best-answer prediction models in technical Q&A sites
Fabio Calefato, Filippo Lanubile, Nicole Novielli
Technical Q&A sites have become essential for software engineers as they constantly seek help from other experts to solve their work problems. Despite their success, many questions…
Why do developers take breaks from contributing to OSS projects? A preliminary analysis
Giuseppe Iaffaldano, Igor Steinmacher, Fabio Calefato +2
Creating a successful and sustainable Open Source Software (OSS) project often depends on the strength and the health of the community behind it. Current literature explains the co…
EMTk -- The Emotion Mining Toolkit
Fabio Calefato, Filippo Lanubile, Nicole Novielli +1
The Emotion Mining Toolkit (EMTk) is a suite of modules and datasets offering a comprehensive solution for mining sentiment and emotions from technical text contributed by develope…
Agile Collaboration for Distributed Teams
Fabio Calefato, Christof Ebert
Editor Introduction: Today software engineering is characterized by two strong trends: agile and distributed. Both together are increasingly demanded and challenge teams and projec…
Natural Language or Not (NLoN) - A Package for Software Engineering Text Analysis Pipeline
Mika V. Mäntylä, Fabio Calefato, Maelick Claes
The use of natural language processing (NLP) is gaining popularity in software engineering. In order to correctly perform NLP, we must pre-process the textual information to separa…
A Gold Standard for Emotion Annotation in Stack Overflow
Nicole Novielli, Fabio Calefato, Filippo Lanubile
Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in empirical software engin…
On Developers' Personality in Large-scale Distributed Projects: The Case of the Apache Ecosystem
Fabio Calefato, Giuseppe Iaffaldano, Filippo Lanubile +1
Large-scale distributed projects are typically the results of collective efforts performed by multiple developers, each one having a different personality. The study of developers'…