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20232026
most citedTest Case Generation for Simulink Models: An Experience from the E-Bike Domain

1 citations · 1 across the 6 of their papers we have counts for

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cs.SE2026

Property-Driven Synthetic Data Engineering for Data-Scarce Software Systems: Reflections from the Breast Cancer Domain

Aurora Francesca Zanenga, Andrea Bombarda, Marsha Chechik +4

Modern software systems increasingly depend on data for analysis, prediction, testing, and decision-making. Yet many important domains, including medicine, safety-critical systems,…

cs.SE2026

Engineering Resource-constrained Software Systems with DNN Components: a Concept-based Pruning Approach

Federico Formica, Andrea Rota, Aurora Francesca Zanenga +4

Deep Neural Networks (DNNs) are widely used by engineers to solve difficult problems that require predictive modeling from data. However, these models are often massive, with milli…

cs.SE2026

Formalizing and validating properties in Asmeta with Large Language Models (Extended Abstract)

Andrea Bombarda, Silvia Bonfanti, Angelo Gargantini +1

Writing temporal logic properties is often a challenging task for users of model-based development frameworks, particularly when translating informal requirements into formal speci…

cs.SE2025

Failure Modes and Effects Analysis: An Experience from the E-Bike Domain

Andrea Bombarda, Federico Conti, Marcello Minervini +2

Software failures can have catastrophic and costly consequences. Functional Failure Mode and Effects Analysis (FMEA) is a standard technique used within Cyber-Physical Systems (CPS…

cs.SE20251 cited

Test Case Generation for Simulink Models: An Experience from the E-Bike Domain

Michael Marzella, Andrea Bombarda, Marcello Minervini +3

Cyber-physical systems development often requires engineers to search for defects in their Simulink models. Search-based software testing (SBST) is a standard technology that suppo…

cs.SE2023

Design, implementation, and validation of a benchmark generator for combinatorial interaction testing tools

Andrea Bombarda, Angelo Gargantini

Combinatorial testing is a widely adopted technique for efficiently detecting faults in software. The quality of combinatorial test generators plays a crucial role in achieving eff…