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Computer Science

D-Index
39
Citations
5692
World Ranking
9842
National Ranking
178

Overview

Annibale Panichella is affiliated with Delft University of Technology in the Netherlands. Their research primarily spans the field of computer science, with a particular focus on software engineering and related subfields.

The main fields of study covered by their work include:

  • Computer Science

Within this domain, their subfields of study consist of:

  • Software
  • Information Systems
  • Computer Networks and Communications
  • Artificial Intelligence
  • Control and Systems Engineering

Key topics addressed in their research are:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Advanced Malware Detection Techniques
  • Real-time simulation and control systems
  • Adversarial Robustness in Machine Learning

Annibale Panichella has contributed scholarly articles to a range of academic venues, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Software

Some notable recent publications by Panichella include:

  • An improved Pareto front modeling algorithm for large-scale many-objective optimization, 2022, Proceedings of the Genetic and Evolutionary Computation Conference
  • A Systematic Comparison of search-Based approaches for LDA hyperparameter tuning, 2020, Information and Software Technology
  • Test smells 20 years later: detectability, validity, and reliability, 2022, Empirical Software Engineering

They also have contributed to publications where they were not the primary author, such as:

  • Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments, 2022, ACM Transactions on Software Engineering and Methodology

Panichella's coauthors frequently include:

  • Sebastiano Panichella
  • Pouria Derakhshanfar
  • Mitchell Olsthoorn
  • Leonhard Applis
  • Andy Zaidman

In addition to journal and conference papers, Panichella has published book contributions. One example is the book titled Search-Based Software Engineering, published by Springer Science+Business Media in 2020.

Best Publications

  • Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

    Annibale Panichella;Fitsum Meshesha Kifetew;Paolo Tonella

  • How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms

    Annibale Panichella;Bogdan Dit;Rocco Oliveto;Massimilano Di Penta

  • Multi-objective Cross-Project Defect Prediction

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

  • When, how, and why developers (do not) test in their IDEs

    Moritz Beller;Georgios Gousios;Annibale Panichella;Andy Zaidman

  • Cross-project defect prediction models: L'Union fait la force

    Annibale Panichella;Rocco Oliveto;Andrea De Lucia

  • Reformulating Branch Coverage as a Many-Objective Optimization Problem

    Annibale Panichella;Fitsum Meshesha Kifetew;Paolo Tonella

  • Testing autonomous cars for feature interaction failures using many-objective search

    Raja Ben Abdessalem;Annibale Panichella;Shiva Nejati;Lionel C. Briand

  • A search-based approach for accurate identification of log message formats

    Salma Messaoudi;Annibale Panichella;Domenico Bianculli;Lionel Briand

  • A textual-based technique for Smell Detection

    Fabio Palomba;Annibale Panichella;Andrea De Lucia;Rocco Oliveto

  • An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization

    Annibale Panichella

  • Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms

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

  • 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

  • On the impact of code smells on the energy consumption of mobile applications

    Fabio Palomba;Dario Di Nucci;Annibale Panichella;Andy Zaidman

  • Lightweight detection of Android-specific code smells: The aDoctor project

    Fabio Palomba;Dario Di Nucci;Annibale Panichella;Andy Zaidman

  • Developer Testing in the IDE: Patterns, Beliefs, and Behavior

    Moritz Beller;Georgios Gousios;Annibale Panichella;Sebastian Proksch

  • Software-based energy profiling of Android apps: Simple, efficient and reliable?

    Dario Di Nucci;Fabio Palomba;Antonio Prota;Annibale Panichella

  • An improved Pareto front modeling algorithm for large-scale many-objective optimization

    Unknown

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

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

  • On the diffusion of test smells in automatically generated test code: an empirical study

    Fabio Palomba;Dario Di Nucci;Annibale Panichella;Rocco Oliveto

  • Defect prediction as a multiobjective optimization problem

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

  • When and How Using Structural Information to Improve IR-Based Traceability Recovery

    A. Panichella;C. McMillan;E. Moritz;D. Palmieri

Frequent Co-Authors

Andy Zaidman
Andy Zaidman Delft University of Technology
Sebastiano Panichella
Sebastiano Panichella University of Zurich
Arie van Deursen
Arie van Deursen Delft University of Technology
Lionel C. Briand
Lionel C. Briand University of Ottawa
Andrea De Lucia
Andrea De Lucia University of Salerno
Fabio Palomba
Fabio Palomba University of Salerno
Gordon Fraser
Gordon Fraser University of Passau
Andrea Arcuri
Andrea Arcuri Kristiania University College
Rocco Oliveto
Rocco Oliveto University of Molise
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana

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