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Alberto Bacchelli
PeerJ Author & Reviewer
310 Points

Contributions by role

Author 100
Preprint Author 140
Reviewer 70

Contributions by subject area

Human-Computer Interaction
Software Engineering
Data Mining and Machine Learning
Data Science
Computer Architecture
Programming Languages
Social Computing
World Wide Web and Web Science

Alberto Bacchelli

PeerJ Author & Reviewer

Summary

I am SNFS Professor of Empirical Software Engineering at the University of Zurich (UZH), Switzerland, where I lead the Zurich Empirical Software engineering Team (ZEST).

My research field is empirical software engineering. My broader vision is to move away from decisions based on intuition, or development activities painstakingly conducted manually, into solutions created using data-driven mathematical models, which make use of the large amount of information available during the software engineering process.

I obtained my Ph.D. under the supervision of Prof. Michele Lanza, working in the REVEAL research group, at the Faculty of Informatics, of the University of Lugano.

During my Ph.D. studies, I have been intern twice (2012 and 2013) at Microsoft Research in Redmond, USA, working with Dr. Christian Bird

I obtained my bachelor and master degrees in computer science from University of Bologna, also studying one year at the Université Libre De Bruxelles during my Master. After obtaining the master degree, I have been working in the industry for one year at Cineca, the largest Italian computing center.

Data Mining & Machine Learning Data Science Human-Computer Interaction Software Engineering Visual Analytics

Past or current institution affiliations

TU Delft
University of Zürich

Work details

SNSF Professor

University of Zürich
August 2017
Department of Informatics
http://www.snf.ch/en/researchinFocus/newsroom/Pages/news-170302-42-new-snsf-professorships.aspx

Assistant Professor

Delft University of Technology
September 2013 - December 2017
SERG

Websites

  • Google Scholar
  • Homepage

PeerJ Contributions

  • Articles 1
  • Preprints 3
May 13, 2019
The effects of change decomposition on code review—a controlled experiment
Marco di Biase, Magiel Bruntink, Arie van Deursen, Alberto Bacchelli
https://doi.org/10.7717/peerj-cs.193
December 19, 2018 - Version: 1
The effects of change decomposition on code review - a controlled experiment
Marco di Biase, Magiel Bruntink, Arie van Deursen, Alberto Bacchelli
https://doi.org/10.7287/peerj.preprints.27438v1
September 6, 2016 - Version: 2
Double-blind review in software engineering venues
Moritz Beller, Alberto Bacchelli
https://doi.org/10.7287/peerj.preprints.1757v2
June 5, 2015 - Version: 1
Smart learning: A search-based approach to rank change and defect prone classes
Carol V Alexandru, Annibale Panichella, Sebastiano Panichella, Alberto Bacchelli, Harald C Gall
https://doi.org/10.7287/peerj.preprints.1160v1