DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems
through Illumination Search

DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search

5 July 2021

Tahereh Zohdinasab

Vincenzo Riccio

Paolo Tonella

Papers citing "DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search"

7 / 7 papers shown

Title
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 44 19 0 22 May 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Mahboubeh Dadkhah Lionel C. Briand AAML 34 16 0 08 Mar 2023
AmbieGen: A Search-based Framework for Autonomous Systems Testing D. Humeniuk Foutse Khomh G. Antoniol 30 13 0 01 Jan 2023
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study Vincenzo Riccio Paolo Tonella AAML 24 29 0 21 Dec 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 45 22 0 03 Oct 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 47 44 0 20 Dec 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score Vincenzo Riccio Nargiz Humbatova Gunel Jahangirova Paolo Tonella 23 37 0 15 Sep 2021