most citedDeepSample: DNN sampling-based testing for operational accuracy assessment

6 citations · 6 across the 5 of their papers we have counts for

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cs.SE2026

Reasoning Beyond Prediction: From Data-Driven to Causal Software Engineering

Roberto Pietrantuono, Luca Giamattei, Stefano Russo

Software engineering is an intellectually demanding, creative discipline that juggles a web of interdependent tasks to design, build, and assure the quality of increasingly complex…

cs.SE2026

Causal Software Engineering: A Vision and Roadmap

Roberto Pietrantuono, Luca Giamattei, Stefano Russo +2

Software engineering increasingly involves making high-stakes decisions under uncertainty, using signals from code, field data, and socio-technical processes. Recent AI-driven supp…

cs.SE2024

Causal Reasoning in Software Quality Assurance: A Systematic Review

Luca Giamattei, Antonio Guerriero, Roberto Pietrantuono +1

Context: Software Quality Assurance (SQA) is a fundamental part of software engineering to ensure stakeholders that software products work as expected after release in operation. M…

cs.SE20246 cited

DeepSample: DNN sampling-based testing for operational accuracy assessment

Antonio Guerriero, Roberto Pietrantuono, Stefano Russo

Deep Neural Networks (DNN) are core components for classification and regression tasks of many software systems. Companies incur in high costs for testing DNN with datasets represe…

cs.SE2024

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study

Luca Giamattei, Matteo Biagiola, Roberto Pietrantuono +2

In a recent study, Reinforcement Learning (RL) used in combination with many-objective search, has been shown to outperform alternative techniques (random search and many-objective…