ICST 2021
Mon 12 - Fri 16 April 2021
Mon 12 Apr 2021 11:00 - 11:30 at Paiva - ITEQS I

We present a novel algorithm for automatic performance testing that uses an online variant of the Generative Adversarial Network (GAN) to optimize the test generation process. The objective is to generate a test suite for a given test budget with a high number of tests revealing performance defects. This is achieved using a GAN to generate the tests and predict their outcome. This GAN is trained online, while generating and executing the tests and it does not require a prior training set or model of the system under test. We consider that the presented algorithm serves as a proof of concept and we hope that it can spark a research discussion on the application of GANs to test generation.

Conference Day
Mon 12 Apr

Displayed time zone: Brasilia, Distrito Federal, Brazil change

10:30 - 11:30
ITEQS IITEQS at Paiva
10:30
30m
Full-paper
Software Defects Rules Discovery
ITEQS
A: Andreea VescanBabes-Bolyai University, A: Camelia SerbanDepartment of Computer Science, Babes-Bolyai University, A: Gloria Cerasela Crisan"Vasile Alecsandri" University of Bacau
11:00
30m
Full-paper
Online GANs for Automatic Performance Testing
ITEQS
A: Ivan PorresÅbo Akademi University, Hergys RexhaÅbo Akademi University, Sebastien LafondÅbo Akademi University