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Sebastiano Panichella

Sebastiano Panichella

D-Index & Metrics

Computer Science

D-Index
41
Citations
5663
World Ranking
8958
National Ranking
164

Overview

Sebastiano Panichella is affiliated with the University of Zurich in Switzerland. Their research spans multiple domains within computer science and engineering, with a focus on software and systems engineering. They have contributed extensively to topics related to software reliability, testing, and autonomous vehicle technology.

The main fields of study for their work are:

  • Computer Science
  • Engineering

Their research spans several subfields including:

  • Software
  • Information Systems
  • Control and Systems Engineering
  • Automotive Engineering
  • Safety, Risk, Reliability and Quality

Key topics covered in their body of work include:

  • Software Reliability and Analysis Research
  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Autonomous Vehicle Technology and Safety
  • Safety Systems Engineering in Autonomy
  • Risk and Safety Analysis
  • Real-time simulation and control systems

Sebastiano Panichella has published in numerous venues, with several frequent publication venues including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Empirical Software Engineering
  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • ACM SIGSOFT Software Engineering Notes

The most recent scientific papers from Panichella's research include:

  • "Predicting issue types on GitHub," 2020, published in Science of Computer Programming
  • "An empirical characterization of bad practices in continuous integration," 2020, published in Empirical Software Engineering
  • "Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments," 2022, published in ACM Transactions on Software Engineering and Methodology
  • "Automatic Detection and Repair Recommendation of Directive Defects in Java API Documentation," 2020, published in IEEE Transactions on Software Engineering
  • "Machine learning-based test selection for simulation-based testing of self-driving cars software," 2023, published in Empirical Software Engineering

Frequent co-authors collaborating with Panichella include:

  • Fiorella Zampetti
  • Massimiliano Di Penta
  • Christian Birchler
  • Andrea Di Sorbo
  • Annibale Panichella

Best Publications

  • How can i improve my app? Classifying user reviews for software maintenance and evolution

    Sebastiano Panichella;Andrea Di Sorbo;Emitza Guzman;Corrado A. Visaggio

  • What would users change in my app? summarizing app reviews for recommending software changes

    Andrea Di Sorbo;Sebastiano Panichella;Carol V. Alexandru;Junji Shimagaki

  • Multi-objective Cross-Project Defect Prediction

    Gerardo Canfora;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

  • Who is going to mentor newcomers in open source projects

    Gerardo Canfora;Massimiliano Di Penta;Rocco Oliveto;Sebastiano Panichella

  • Recommending and localizing change requests for mobile apps based on user reviews

    Fabio Palomba;Pasquale Salza;Adelina Ciurumelea;Sebastiano Panichella

  • Analyzing reviews and code of mobile apps for better release planning

    Adelina Ciurumelea;Andreas Schaufelbuhl;Sebastiano Panichella;Harald C. Gall

  • How the Apache community upgrades dependencies: an evolutionary study

    Gabriele Bavota;Gerardo Canfora;Massimiliano Di Penta;Rocco Oliveto

  • How developers engage with static analysis tools in different contexts

    Carmine Vassallo;Sebastiano Panichella;Fabio Palomba;Sebastian Proksch

  • Using IR methods for labeling source code artifacts: Is it worthwhile?

    Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto;Annibale Panichella

  • The impact of test case summaries on bug fixing performance: an empirical investigation

    Sebastiano Panichella;Annibale Panichella;Moritz Beller;Andy Zaidman

  • ARdoc: app reviews development oriented classifier

    Sebastiano Panichella;Andrea Di Sorbo;Emitza Guzman;Corrado A. Visaggio

  • Mining source code descriptions from developer communications

    Sebastiano Panichella;Jairo Aponte;Massimiliano Di Penta;Andrian Marcus

  • The Evolution of Project Inter-dependencies in a Software Ecosystem: The Case of Apache

    Gabriele Bavota;Gerardo Canfora;Massimiliano Di Penta;Rocco Oliveto

  • Analyzing APIs documentation and code to detect directive defects

    Yu Zhou;Ruihang Gu;Taolue Chen;Zhiqiu Huang

  • Context is king: The developer perspective on the usage of static analysis tools

    Carmine Vassallo;Sebastiano Panichella;Fabio Palomba;Sebastian Proksch

  • Development Emails Content Analyzer: Intention Mining in Developer Discussions (T)

    Andrea Di Sorbo;Sebastiano Panichella;Corrado A. Visaggio;Massimiliano Di Penta

  • Improving IR‐based traceability recovery via noun‐based indexing of software artifacts

    Giovanni Capobianco;Andrea De Lucia;Rocco Oliveto;Annibale Panichella

  • Would static analysis tools help developers with code reviews

    Sebastiano Panichella;Venera Arnaoudova;Massimiliano Di Penta;Giuliano Antoniol

  • Defect prediction as a multiobjective optimization problem

    Gerardo Canfora;Andrea De Lucia;Massimiliano Di Penta;Rocco Oliveto

  • CODES: mining source code descriptions from developers discussions

    Carmine Vassallo;Sebastiano Panichella;Massimiliano Di Penta;Gerardo Canfora

  • SURF: Replication Package for: "What Would Users Change in My App? Summarizing App Reviews for Recommending Software Changes"

    Andrea Di Sorbo;Sebastiano Panichella;Carol V. Alexandru;Junji Shimagaki

Frequent Co-Authors

Harald C. Gall
Harald C. Gall University of Zurich
Gerardo Canfora
Gerardo Canfora University of Sannio
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Rocco Oliveto
Rocco Oliveto University of Molise
Annibale Panichella
Annibale Panichella Delft University of Technology
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Andrea De Lucia
Andrea De Lucia University of Salerno
Andy Zaidman
Andy Zaidman Delft University of Technology
Oscar Nierstrasz
Oscar Nierstrasz University of Bern
Fabio Palomba
Fabio Palomba University of Salerno

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