A Novelty Search-based Test Data Generator for Object-oriented Programs - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

A Novelty Search-based Test Data Generator for Object-oriented Programs

Abstract

In search-based structural testing, meta-heuristic search techniques have been frequently used to automate test data generation. In this paper, we introduce the use of novelty search algorithm to the test data generation problem based on statement-covered criterion. In this approach, we seek to explore the search space by considering diversity as the unique objective function to be optimized. In fact, instead of having a fitness-based selection, we select test cases based on a novelty score showing how different they are compared to all other solutions evaluated so far.
Fichier principal
Vignette du fichier
p1359-boussaa.pdf (700.23 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01248177 , version 1 (24-12-2015)

Identifiers

Cite

Mohamed Boussaa, Olivier Barais, Gerson Sunyé, Benoit Baudry. A Novelty Search-based Test Data Generator for Object-oriented Programs. GECCO 2015, Jul 2015, Madrid, Spain. pp.1359--1360, ⟨10.1145/2739482.2764716⟩. ⟨hal-01248177⟩
573 View
280 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More