Fabio Calefato
Fabio Calefato, Ph.D.
Assistant professor

 

Via Duomo, 259
74123 Taranto, Italy

 

Phone: +39 080 544 3261
Fax: +39 080 544 2031
Email: email

Further Information

Background

  • Current position: Assistant Professor at the Dipartimento Jonico, University of Bari (2015 – )
  • Ph.D. students supervision (current): Giuseppe Iaffaldano (crowd creativity and success factors in online collaborative communities)
  • Memberships (recent): EMSE Review Board Member (2015-), PlosONE Guest Academic Editor (2017-), ICSE SCORE PC (2018)
  • Reviews: A partial list of my recent activity as a reviewer is publicly available on Publons
  • Visiting:
    • STRUDEL, Carnegie Mellon University, USA (Jul. – Oct. 2017)
    • CHISEL, University of Victoria, Canada (Nov. – Dic . 2016)
    • SEGAL, University of Victoria, Canada (Jan. – Apr. 2006)
    • Distributed Systems Group, TU Wien, Austria (May – Jun. 2004)
  • Post-doc at the Dept. of Computer Science (2007-08; 2010-14)
  • Ph.D. (2004-2007) in Computer Science from the University of Bari, received on May 2007. Thesis: “Supporting Synchronous Communication in Distributed Software Teams,” listed on SIGSOFT Selected PhD Dissertations in the Area of Software Engineering and published by VDM Verlag Publishing, ISBN 978-3-639-17562-2
  • MSc in Computer Science from the University of Bari, received on October 2002

Research Interests

  • Collaboration in software development
  • Social software engineering
  • Mining software repositories and technical Q&A sites
  • Computer-mediated communication theories and tools
  • Pyschometric and sentiment analyses from communication channels in the social programmer ecosystem
  • Collaboration in online, creative communities
  • Social Media and Social Network Analysis
  • Community-driven knowledge sharing
  • Frameworks

Research Projects

  • Establishing personal trust-based connections in distributed teams
    Trust is a factor that dramatically contributes to the success or failure of distributed software teams. We investigate how social communication between distant developers enables the affective appraisal of trustworthiness even from a distance, thus increasing project performance.
  • Success factors in online knowledge-sharing and creative communities
    The project aims to identify the fundamental resemblances and differences between the open source software (OSS) communities and creative arts communities and propose solutions to improve the latter, building a better user experience and cohesion within the community that could lead to better artifacts.
  • A Hub-and-Spoke Model for Tool Integration in Distributed Development
    Today, an ever-growing plethora of development tools provide a continual stream of updates and place developers into a situation of channel overload and information fragmentation. This project defines a model for the loosely-coupled integration of development tools, which can help developers cope with these issues while also increasing their overall situational awareness

Students

  • Ph.D. students:
    • Giuseppe Iaffaldano, working on crowd creativity and success factors in online collaborative communities
  • Recent grads/undergrads (thesis in Italian):
    • Davide Primiceri, “Valutazione degli effetti del multitasking tra i progetti open source di GitHub” (a.a. 2016/17)
    • Antonio Lategano, “Analisi della partecipazione in una online community” (a.a. 2016/17)
    • Francesco Giustino, “Ricostruzione della reputazione in Stack Overflow” (a.a. 2016/17)
    • Michele Lombardi, “Comunicazione integrata per DevOps: Il caso di TravisCI e Slack” (a.a. 2016/17)

Events

Software

  •  All active COLLAB Projects  (hosted on GitHub)
    • Under the spotlight
      • SO_reputation – A RESTful API for computing an approximate reputation score of Stack Overflow users at any time
      • Apache-Big5 – A personality profiler for developers working in the ASF ecosystem
      • EMTk – A generic toolkit for training your own emotion and polarity classifiers on any textual corpus. The toolkit comprises:
        • Senti4SD – A sentiment-polarity classifier specifically trained on developers’ communication channels
        • Emo4SD – An emotion classifier of text containing technical content from the SE domain
        • EmoTXT – An emotion classifier of any kind of text
  •  Discontinued projects 

Experimental datasets

Group Awards

  • 2011
    • The Microsoft Software Engineering Innovation award (MSEIF)
  • 2008
    • the 2008 IBM Faculty award
  • 2006
    • the 2006 IBM Eclipse Innovation award

Publications


Journals and Magazines

2018

2017

2016

2015

2014

2013

2012-2004


International Conferences and Workshops

2018

2017

2016

2015

2014

2013

2012-2004


Books and Book Chapters


National Conferences and Workshops