Estimating t-way Fault Profile Evolution During Testing

Published: August 25, 2016

Author(s)

David R. Kuhn, Raghu N. Kacker, Lei Yu

Abstract

Empirical studies have shown that most software interaction faults involve one or two variables interacting, with progressively fewer triggered by three or more, and no failure has been reported involving more than six variables interacting. This paper introduces a hypothesis for the origin of this distribution, with implications for removal of interaction faults and reliability growth.
Conference Dates: June 10-14, 2016
Conference Location: Atlanta, GA
Conference Title: IEEE Conference on Computers, Software & Applications
Pub Type: Conferences

Keywords

combinatorial testing, software fault, testing
Created August 25, 2016, Updated November 10, 2018