search-based software engineering

Incremental Control Dependency Frontier Exploration for Many-Criteria Test Case Generation
Annibale Panichella, Fitsum M. Kifetew, Paolo Tonella
Preprint Code Slides
A Search-based Approach for Accurate Identification of Log Message Formats
Salma Messaoudi, Annibale Panichella, Domenico Bianculli, Lionel Briand, Raimondas Sasnauskas
Testing Autonomous Cars for Feature Interaction Failures using Many-Objective Search
R. Abdessalem, A. Panichella, S. Nejati, L. Briand, T. Stifter
Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets
Annibale Panichella, Fitsum M. Kifetew, Paolo Tonella
Code Dataset
LIPS vs MOSA: a Replicated Empirical Study on Automated Test Case Generation
Annibale Panichella, Fitsum Kifetew, Paolo Tonella
Preprint PDF
Improving Multi-Objective Search Based Test Suite Optimization through Diversity Injection
Abstract: A way to reduce the cost of regression testing consists of selecting or prioritizing subsets of test cases from a test suite according to some criteria. Besides greedy algorithms, cost cognizant additional greedy algorithms, multi-objective optimization algorithms, and multi-objective genetic algorithms (MOGAs), have also been proposed to tackle this problem.
Annibale Panichella, Rocco Oliveto, Massimiliano di Penta, Andrea De Lucia