Publications
Testify contributes to the research frontier within quality assurance, testing, and technology. Our employees regularly publish articles and present research at national and international arenas.
All our publications
Testify employees produce research that is published at various conferences and in different academic journals. Here is a list of the latest contributions:
Pareto efficient multi-objective black-box test case selection for simulation-based testing
Employing rule mining and multi-objective search for dynamic test case prioritization
Search-based test case implantation for testing untested configurations
A Model-Based Approach to Generate Dynamic Synthetic Test Data: A Conceptual Mode
A Model-Based Approach to Generate Dynamic Synthetic Test Data
Synthetic Test Data Generation Using Recurrent Neural Networks: A Position Paper
Industrial experiences with automated regression testing of a legacy database application