On the role of the nouns in IR-based traceability recovery. - Giovanni Capobianco; Andrea De Lucia; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (ICPC, 2009)

Traceability Recovery Using Numerical Analysis. - Giovanni Capobianco; Andrea De Lucia; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (WCRE, 2009)

Improving IR-based Traceability Recovery Using Smoothing Filters. - Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (ICPC, 2011)

Estimating the evolution direction of populations to improve genetic algorithms. - Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella (GECCO, 2012)

On the role of diversity measures for multi-objective test case selection. - Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella (AST, 2012)

TraceME: Traceability Management in Eclipse. - Gabriele Bavota; Luigi Colangelo; Andrea De Lucia; Sabato Fusco; Rocco Oliveto; Annibale Panichella (ICSM, 2012)

Using IR methods for labeling source code artifacts: Is it worthwhile? - Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (ICPC, 2012)

When and How Using Structural Information to Improve IR-Based Traceability Recovery. - Annibale Panichella; Collin McMillan; Evan Moritz; Davide Palmieri; Rocco Oliveto; Denys Poshyvanyk; Andrea De Lucia (CSMR, 2013)

The role of artefact corpus in LSI-based traceability recovery. - Gabriele Bavota; Andrea De Lucia; Rocco Oliveto; Annibale Panichella; Fabio Ricci; Genoveffa Tortora (TEFSE@ICSE, 2013)

Configuring topic models for software engineering tasks in TraceLab. - Bogdan Dit; Annibale Panichella; Evan Moritz; Rocco Oliveto; Massimiliano Di Penta; Denys Poshyvanyk; Andrea De Lucia (TEFSE@ICSE, 2013)

How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms. - Annibale Panichella; Bogdan Dit; Rocco Oliveto; Massimiliano Di Penta; Denys Poshyvanyk; Andrea De Lucia (ICSE, 2013)

Multi-objective Cross-Project Defect Prediction. - Gerardo Canfora; Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (ICST, 2013)

Orthogonal exploration of the search space in evolutionary test case generation. - Fitsum Meshesha Kifetew; Annibale Panichella; Andrea De Lucia; Rocco Oliveto; Paolo Tonella (ISSTA, 2013)

Applying a smoothing filter to improve IR-based traceability recovery processes: An empirical investigation. - Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (Inf. Softw. Technol., 2013)

Improving IR-based traceability recovery via noun-based indexing of software artifacts. - Giovanni Capobianco; Andrea De Lucia; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (J. Softw. Evol. Process., 2013)

Cross-project defect prediction models: L'Union fait la force. - Annibale Panichella; Rocco Oliveto; Andrea De Lucia (CSMR-WCRE, 2014)

Labeling source code with information retrieval methods: an empirical study. - Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (Empir. Softw. Eng., 2014)

Results for EvoSuite - MOSA at the Third Unit Testing Tool Competition. - Annibale Panichella; Fitsum Meshesha Kifetew; Paolo Tonella (SBST@ICSE, 2015)

Adaptive User Feedback for IR-Based Traceability Recovery. - Annibale Panichella; Andrea De Lucia; Andy Zaidman (SST@ICSE, 2015)

Security Threat Identification and Testing. - Roberto Carbone; Luca Compagna; Annibale Panichella; Serena Elisa Ponta (ICST, 2015)

Reformulating Branch Coverage as a Many-Objective Optimization Problem. - Annibale Panichella; Fitsum Meshesha Kifetew; Paolo Tonella (ICST, 2015)

When, how, and why developers (do not) test in their IDEs. - Moritz Beller; Georgios Gousios; Annibale Panichella; Andy Zaidman (ESEC/SIGSOFT FSE, 2015)

Hypervolume-Based Search for Test Case Prioritization. - Dario Di Nucci; Annibale Panichella; Andy Zaidman; Andrea De Lucia (SSBSE, 2015)

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 (PeerJ Prepr., 2015)

Defect prediction as a multiobjective optimization problem. - Gerardo Canfora; Andrea De Lucia; Massimiliano Di Penta; Rocco Oliveto; Annibale Panichella; Sebastiano Panichella (Softw. Test. Verification Reliab., 2015)

Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms. - Annibale Panichella; Rocco Oliveto; Massimiliano Di Penta; Andrea De Lucia (IEEE Trans. Software Eng., 2015)

A Search-based Training Algorithm for Cost-aware Defect Prediction. - Annibale Panichella; Carol V. Alexandru; Sebastiano Panichella; Alberto Bacchelli; Harald C. Gall (GECCO, 2016)

How to catch 'em all: WatchDog, a family of IDE plug-ins to assess testing. - Moritz Beller; Igor Levaja; Annibale Panichella; Georgios Gousios; Andy Zaidman (SER&IP@ICSE, 2016)

On the diffusion of test smells in automatically generated test code: an empirical study. - Fabio Palomba; Dario Di Nucci; Annibale Panichella; Rocco Oliveto; Andrea De Lucia (SBST@ICSE, 2016)

Evolutionary testing for crash reproduction. - Mozhan Soltani; Annibale Panichella; Arie van Deursen (SBST@ICSE, 2016)

Continuous Delivery Practices in a Large Financial Organization. - Carmine Vassallo; Fiorella Zampetti; Daniele Romano; Moritz Beller; Annibale Panichella; Massimiliano Di Penta; Andy Zaidman (ICSME, 2016)

Automatic test case generation: what if test code quality matters? - Fabio Palomba; Annibale Panichella; Andy Zaidman; Rocco Oliveto; Andrea De Lucia (ISSTA, 2016)

A textual-based technique for Smell Detection. - Fabio Palomba; Annibale Panichella; Andrea De Lucia; Rocco Oliveto; Andy Zaidman (ICPC, 2016)

Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms. - Annibale Panichella; Bogdan Dit; Rocco Oliveto; Massimiliano Di Penta; Denys Poshyvanyk; Andrea De Lucia (SANER, 2016)

The impact of test case summaries on bug fixing performance: An empirical investigation. - Sebastiano Panichella; Annibale Panichella; Moritz Beller; Andy Zaidman; Harald C. Gall (PeerJ Prepr., 2016)

A systematic literature review of how mutation testing supports test activities. - Qianqian Zhu; Annibale Panichella; Andy Zaidman (PeerJ Prepr., 2016)

Speeding-up mutation testing via data compression and state infection. - Qianqian Zhu; Annibale Panichella; Andy Zaidman (PeerJ Prepr., 2016)

PETrA: a software-based tool for estimating the energy profile of Android applications. - Dario Di Nucci; Fabio Palomba; Antonio Prota; Annibale Panichella; Andy Zaidman; Andrea De Lucia (ICSE (Companion Volume), 2017)

Java Unit Testing Tool Competition - Fifth Round. - Annibale Panichella; Urko Rueda Molina (SBST@ICSE, 2017)

A guided genetic algorithm for automated crash reproduction. - Mozhan Soltani; Annibale Panichella; Arie van Deursen (ICSE, 2017)

Automatically Repairing Web Application Firewalls Based on Successful SQL Injection Attacks. - Dennis Appelt; Annibale Panichella; Lionel C. Briand (ISSRE, 2017)

LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation. - Annibale Panichella; Fitsum Meshesha Kifetew; Paolo Tonella (SSBSE, 2017)

Software-based energy profiling of Android apps: Simple, efficient and reliable? - Dario Di Nucci; Fabio Palomba; Antonio Prota; Annibale Panichella; Andy Zaidman; Andrea De Lucia (SANER, 2017)

Lightweight detection of Android-specific code smells: The aDoctor project. - Fabio Palomba; Dario Di Nucci; Annibale Panichella; Andy Zaidman; Andrea De Lucia (SANER, 2017)

Search-based test data generation for SQL queries. - Jeroen Castelein; Maurício Finavaro Aniche; Mozhan Soltani; Annibale Panichella; Arie van Deursen (ICSE, 2018)

Java unit testing tool competition: sixth round. - Urko Rueda Molina; Fitsum Meshesha Kifetew; Annibale Panichella (SBST@ICSE, 2018)

An Investigation of Compression Techniques to Speed up Mutation Testing. - Qianqian Zhu; Annibale Panichella; Andy Zaidman (ICST, 2018)

A search-based approach for accurate identification of log message formats. - Salma Messaoudi; Annibale Panichella; Domenico Bianculli; Lionel C. Briand; Raimondas Sasnauskas (ICPC, 2018)

Testing autonomous cars for feature interaction failures using many-objective search. - Raja Ben Abdessalem; Annibale Panichella; Shiva Nejati 001; Lionel C. Briand; Thomas Stifter (ASE, 2018)

Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation. - Annibale Panichella; Fitsum Meshesha Kifetew; Paolo Tonella (SSBSE, 2018)

Single-objective Versus Multi-objectivized Optimization for Evolutionary Crash Reproduction. - Mozhan Soltani; Pouria Derakhshanfar; Annibale Panichella; Xavier Devroey; Andy Zaidman; Arie van Deursen (SSBSE, 2018)

A large scale empirical comparison of state-of-the-art search-based test case generators. - Annibale Panichella; Fitsum Meshesha Kifetew; Paolo Tonella (Inf. Softw. Technol., 2018)

A systematic literature review of how mutation testing supports quality assurance processes. - Qianqian Zhu; Annibale Panichella; Andy Zaidman (Softw. Test. Verification Reliab., 2018)

A Machine-Learning-Driven Evolutionary Approach for Testing Web Application Firewalls. - Dennis Appelt; Cu D. Nguyen; Annibale Panichella; Lionel C. Briand (IEEE Trans. Reliab., 2018)

The Scent of a Smell: An Extensive Comparison Between Textual and Structural Smells. - Fabio Palomba; Annibale Panichella; Andy Zaidman; Rocco Oliveto; Andrea De Lucia (IEEE Trans. Software Eng., 2018)

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets. - Annibale Panichella; Fitsum Meshesha Kifetew; Paolo Tonella (IEEE Trans. Software Eng., 2018)

An adaptive evolutionary algorithm based on non-euclidean geometry for many-objective optimization. - Annibale Panichella (GECCO, 2019)

EvoSuiTE at the SBST 2019 tool competition. - José Campos 001; Annibale Panichella; Gordon Fraser 001 (SBST@ICSE, 2019)

Beyond unit-testing in search-based test case generation: challenges and opportunities. - Annibale Panichella (SBST@ICSE, 2019)

Effective and efficient API misuse detection via exception propagation and search-based testing. - Maria Kechagia; Xavier Devroey; Annibale Panichella; Georgios Gousios; Arie van Deursen (ISSTA, 2019)

JCOMIX: a search-based tool to detect XML injection vulnerabilities in web applications. - Dimitri Michel Stallenberg; Annibale Panichella (ESEC/SIGSOFT FSE, 2019)

A Systematic Comparison of Search Algorithms for Topic Modelling - A Study on Duplicate Bug Report Identification. - Annibale Panichella (SSBSE, 2019)

Scalable Inference of System-level Models from Component Logs. - Donghwan Shin 001; Salma Messaoudi; Domenico Bianculli; Annibale Panichella; Lionel C. Briand; Raimondas Sasnauskas (CoRR, 2019)

Search-based multi-vulnerability testing of XML injections in web applications. - Sadeeq Jan; Annibale Panichella; Andrea Arcuri; Lionel C. Briand (Empir. Softw. Eng., 2019)

Correction to: Search-based multi-vulnerability testing of XML injections in web applications. - Sadeeq Jan; Annibale Panichella; Andrea Arcuri; Lionel C. Briand (Empir. Softw. Eng., 2019)

On the impact of code smells on the energy consumption of mobile applications. - Fabio Palomba; Dario Di Nucci; Annibale Panichella; Andy Zaidman; Andrea De Lucia (Inf. Softw. Technol., 2019)

Developer Testing in the IDE: Patterns, Beliefs, and Behavior. - Moritz Beller; Georgios Gousios; Annibale Panichella; Sebastian Proksch 001; Sven Amann; Andy Zaidman (IEEE Trans. Software Eng., 2019)

Automatic Generation of Tests to Exploit XML Injection Vulnerabilities in Web Applications. - Sadeeq Jan; Annibale Panichella; Andrea Arcuri; Lionel C. Briand (IEEE Trans. Software Eng., 2019)

Crash reproduction using helper objectives. - Pouria Derakhshanfar; Xavier Devroey; Andy Zaidman; Arie van Deursen; Annibale Panichella (GECCO Companion, 2020)

Oracle Issues in Machine Learning and Where to Find Them. - Cynthia C. S. Liem; Annibale Panichella (ICSE (Workshops), 2020)

EvoSuite at the SBST 2020 Tool Competition. - Annibale Panichella; José Campos 001; Gordon Fraser 001 (ICSE (Workshops), 2020)

Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities. - Annibale Panichella; Sebastiano Panichella; Gordon Fraser 001; Anand Ashok Sawant; Vincent J. Hellendoorn (ICSME, 2020)

Automated repair of feature interaction failures in automated driving systems. - Raja Ben Abdessalem; Annibale Panichella; Shiva Nejati 001; Lionel C. Briand; Thomas Stifter (ISSTA, 2020)

Botsing, a Search-based Crash Reproduction Framework for Java. - Pouria Derakhshanfar; Xavier Devroey; Annibale Panichella; Andy Zaidman; Arie van Deursen (ASE, 2020)

Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives. - Pouria Derakhshanfar; Xavier Devroey; Andy Zaidman; Arie van Deursen; Annibale Panichella (ASE, 2020)

Generating Highly-structured Input Data by Combining Search-based Testing and Grammar-based Fuzzing. - Mitchell Olsthoorn; Arie van Deursen; Annibale Panichella (ASE, 2020)

DeepTC-Enhancer: Improving the Readability of Automatically Generated Tests. - Devjeet Roy; Ziyi Zhang; Maggie Ma; Venera Arnaoudova; Annibale Panichella; Sebastiano Panichella; Danielle Gonzalez; Mehdi Mirakhorli (ASE, 2020)

LogChunks: A Data Set for Build Log Analysis. - Carolin E. Brandt; Annibale Panichella; Andy Zaidman; Moritz Beller (MSR, 2020)

Towards Integration-Level Test Case Generation Using Call Site Information. - Pouria Derakhshanfar; Xavier Devroey; Annibale Panichella; Andy Zaidman; Arie van Deursen (CoRR, 2020)

Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering. - Cynthia C. S. Liem; Annibale Panichella (CoRR, 2020)

A Test Case Prioritization Genetic Algorithm Guided by the Hypervolume Indicator. - Dario Di Nucci; Annibale Panichella; Andy Zaidman; Andrea De Lucia (IEEE Trans. Software Eng., 2020)

Search-Based Crash Reproduction and Its Impact on Debugging. - Mozhan Soltani; Annibale Panichella; Arie van Deursen (IEEE Trans. Software Eng., 2020)

Replication package of "Good Things Come In Threes: Improving Search-based Crash Reproduction With Helper Objectives". - Pouria Derakhshanfar; Xavier Devroey; Andy Zaidman; Arie van Deursen; Annibale Panichella (Zenodo, 2020)

What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection. - Annibale Panichella; Cynthia C. S. Liem (ICSE (NIER), 2021)

Search-Based Software Re-Modularization: A Case Study at Adyen. - Casper Schröder; Adriaan van der Feltz; Annibale Panichella; Maurício Aniche (ICSE (SEIP), 2021)

Log-based slicing for system-level test cases. - Salma Messaoudi; Donghwan Shin 001; Annibale Panichella; Domenico Bianculli; Lionel C. Briand (ISSTA, 2021)

Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. - Leonhard Applis; Annibale Panichella; Arie van Deursen (ASE, 2021)

Improving Test Case Generation for REST APIs Through Hierarchical Clustering. - Dimitri Michel Stallenberg; Mitchell Olsthoorn; Annibale Panichella (ASE, 2021)

ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility. - Burak Yildiz; Hayley Hung; Jesse H. Krijthe; Cynthia C. S. Liem; Marco Loog; Gosia Migut; Frans A. Oliehoek; Annibale Panichella; Przemyslaw Pawelczak; Stjepan Picek; Mathijs de Weerdt; Jan van Gemert (RRPR, 2021)

Evosuite at the SBST 2021 Tool Competition. - Sebastian Vogl; Sebastian Schweikl; Gordon Fraser 001; Andrea Arcuri; José Campos 001; Annibale Panichella (SBST@ICSE, 2021)

Hybrid Multi-level Crossover for Unit Test Case Generation. - Mitchell Olsthoorn; Pouria Derakhshanfar; Annibale Panichella (SSBSE, 2021)

Multi-objective Test Case Selection Through Linkage Learning-Based Crossover. - Mitchell Olsthoorn; Annibale Panichella (SSBSE, 2021)

Automated Test Cases Prioritization for Self-driving Cars in Virtual Environments. - Christian Birchler; Sajad Khatiri; Pouria Derakhshanfar; Sebastiano Panichella; Annibale Panichella (CoRR, 2021)

A Systematic Comparison of search-Based approaches for LDA hyperparameter tuning. - Annibale Panichella (Inf. Softw. Technol., 2021)

How to kill them all: An exploratory study on the impact of code observability on mutation testing. - Qianqian Zhu; Andy Zaidman; Annibale Panichella (J. Syst. Softw., 2021)

Serverless Testing: Tool Vendors' and Experts' Points of View. - Valentina Lenarduzzi; Annibale Panichella (IEEE Softw., 2021)

Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation. - Giovanni Grano; Christoph Laaber; Annibale Panichella; Sebastiano Panichella (IEEE Trans. Software Eng., 2021)

An improved Pareto front modeling algorithm for large-scale many-objective optimization. - Annibale Panichella (GECCO, 2022)

PROPR: Property-Based Automatic Program Repair. - Matthías Páll Gissurarson; Leonhard Applis; Annibale Panichella; Arie van Deursen; David Sands 001 (ICSE, 2022)

SynTest-Solidity: Automated Test Case Generation and Fuzzing for Smart Contracts. - Mitchell Olsthoorn; Dimitri Michel Stallenberg; Arie van Deursen; Annibale Panichella (ICSE-Companion, 2022)

Guiding Automated Test Case Generation for Transaction-Reverting Statements in Smart Contracts. - Mitchell Olsthoorn; Arie van Deursen; Annibale Panichella (ICSME, 2022)

Message from the Program Co-Chairs. - Fitsum Meshesha Kifetew; Annibale Panichella (ICST, 2022)

Guess What: Test Case Generation for Javascript with Unsupervised Probabilistic Type Inference. - Dimitri Michel Stallenberg; Mitchell Olsthoorn; Annibale Panichella (SSBSE, 2022)

Encoding NetFlows for State-Machine Learning. - Clinton Cao; Annibale Panichella; Sicco Verwer; Agathe Blaise; Filippo Rebecchi (CoRR, 2022)

Test smells 20 years later: detectability, validity, and reliability. - Annibale Panichella; Sebastiano Panichella; Gordon Fraser 001; Anand Ashok Sawant; Vincent J. Hellendoorn (Empir. Softw. Eng., 2022)

Reproduction: Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. - Leonhard Applis; Annibale Panichella; Arie van Deursen (Zenodo, 2022)

Reproduction: Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. - Leonhard Applis; Annibale Panichella; Arie van Deursen (Zenodo, 2022)

Reproduction: Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. - Leonhard Applis; Annibale Panichella; Arie van Deursen (Zenodo, 2022)

Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. - Fiorella Zampetti; Damian A. Tamburri; Sebastiano Panichella; Annibale Panichella; Gerardo Canfora; Massimiliano Di Penta (Zenodo, 2022)

Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. - Fiorella Zampetti; Damian A. Tamburri; Sebastiano Panichella; Annibale Panichella; Gerardo Canfora; Massimiliano Di Penta (Zenodo, 2022)

Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study - Online Dataset. - Fiorella Zampetti; Damian A. Tamburri; Sebastiano Panichella; Annibale Panichella; Gerardo Canfora; Massimiliano Di Penta (Zenodo, 2022)

Replication package of "Guiding Automated Test Case Generation for Transaction-Reverting Statements in Smart Contracts". - Mitchell Olsthoorn; Arie van Deursen; Annibale Panichella (Zenodo, 2022)

Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML. - Leonhard Applis; Annibale Panichella; Ruben Marang (GECCO, 2023)

A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter. - Annibale Panichella; Giuseppe Di Domenico (GECCO, 2023)

On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples. - Antony Bartlett; Cynthia C. S. Liem; Annibale Panichella (SBFT, 2023)

Evolutionary Approach for Concurrency Testing of Ripple Blockchain Consensus Algorithm. - Martijn van Meerten; Burcu Kulahcioglu Ozkan; Annibale Panichella (ICSE-SEIP, 2023)

Grammar-Based Evolutionary Fuzzing for JSON-RPC APIs. - Lisette Veldkamp; Mitchell Olsthoorn; Annibale Panichella (SBFT, 2023)

HasBugs - Handpicked Haskell Bugs. - Leonhard Applis; Annibale Panichella (MSR, 2023)

Multi-objective Black-Box Test Case Prioritization Based on Wordnet Distances. - Imara van Dinten; Andy Zaidman; Annibale Panichella (SSBSE, 2023)

Single and Multi-objective Test Cases Prioritization for Self-driving Cars in Virtual Environments. - Christian Birchler; Sajad Khatiri; Pouria Derakhshanfar; Sebastiano Panichella; Annibale Panichella (ACM Trans. Softw. Eng. Methodol., 2023)

Generating Class-Level Integration Tests Using Call Site Information. - Pouria Derakhshanfar; Xavier Devroey; Annibale Panichella; Andy Zaidman; Arie van Deursen (IEEE Trans. Software Eng., 2023)

JUGE: An infrastructure for benchmarking Java unit test generators. - Xavier Devroey; Alessio Gambi; Juan Pablo Galeotti; René Just; Fitsum Meshesha Kifetew; Annibale Panichella; Sebastiano Panichella (Softw. Test. Verification Reliab., 2023)

Continuous Integration and Delivery Practices for Cyber-Physical Systems: An Interview-Based Study. - Fiorella Zampetti; Damian A. Tamburri; Sebastiano Panichella; Annibale Panichella; Gerardo Canfora; Massimiliano Di Penta (ACM Trans. Softw. Eng. Methodol., 2023)

CATMA: Conformance Analysis Tool For Microservice Applications. - Clinton Cao; Simon Schneider; Nicolás E. Díaz Ferreyra; Sicco Verwer; Annibale Panichella; Riccardo Scandariato (ICSE Companion, 2024)

Breaking the Silence: the Threats of Using LLMs in Software Engineering. - June Sallou; Thomas Durieux; Annibale Panichella (NIER@ICSE, 2024)

TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion. - Arkadii Sapozhnikov; Mitchell Olsthoorn; Annibale Panichella; Vladimir Kovalenko; Pouria Derakhshanfar (ICSE Companion, 2024)

Syntest-JavaScript: Automated Unit-Level Test Case Generation for JavaScript. - Mitchell Olsthoorn; Dimitri Michel Stallenberg; Annibale Panichella (SBFT@ICSE, 2024)

Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler. - Calin Georgescu; Mitchell Olsthoorn; Pouria Derakhshanfar; Marat Akhin; Annibale Panichella (SIGSOFT FSE Companion, 2024)

State Frequency Estimation for Anomaly Detection. - Clinton Cao; Agathe Blaise; Annibale Panichella; Sicco Verwer (CoRR, 2024)

Multi-objective differential evolution in the generation of adversarial examples. - Antony Bartlett; Cynthia C. S. Liem; Annibale Panichella (Sci. Comput. Program., 2024)

The slow and the furious? Performance antipattern detection in Cyber-Physical Systems. - Imara van Dinten; Pouria Derakhshanfar; Annibale Panichella; Andy Zaidman (J. Syst. Softw., 2024)

Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic. - Clinton Cao; Annibale Panichella; Sicco Verwer (AST@ICSE, 2025)

Metamorphic-Based Many-Objective Distillation of LLMs for Code-Related Tasks. - Annibale Panichella (ICSE, 2025)

Test Wars: A Comparative Study of SBST, Symbolic Execution, and LLM-Based Approaches to Unit Test Generation. - Azat Abdullin; Pouria Derakhshanfar; Annibale Panichella (ICST, 2025)

Suspicious Types and Bad Neighborhoods: Filtering Spectra with Compiler Information. - Leonhard Applis; Matthías Páll Gissurarson; Annibale Panichella (ICST, 2025)

DRVN at the ICST 2025 Tool Competition - Self-Driving Car Testing Track. - Antony Bartlett; Cynthia C. S. Liem; Annibale Panichella (ICST, 2025)

Rocket: A System-Level Fuzz-Testing Framework for the XRPL Consensus Algorithm. - Wishaal Kanhai; Ivar van Loon; Yuraj Mangalgi; Thijs Van der Valk; Lucas Witte; Annibale Panichella; Mitchell Olsthoorn; Burcu Kulahcioglu Ozkan (ICST, 2025)

Raiders of the Lost Dependency: Fixing Dependency Conflicts in Python using LLMs. - Antony Bartlett; Cynthia C. S. Liem; Annibale Panichella (CoRR, 2025)

Metamorphic Testing of Deep Code Models: A Systematic Literature Review. - Ali Asgari; Milan de Koning; Pouria Derakhshanfar; Annibale Panichella (CoRR, 2025)