Debugging is the task of locating and fixing defects in a program.
Despite the increase of its importance in last decades, debugging
is responsible for a large part of costs in a software project by organizations.
Among the techniques proposed to minimize these
difficulties, Spectrum-Based Fault Localization (SFL) is a promising
debugging technique due to it is relative low execution cost.
Recently, visualization tools have been proposed to represent the
suspicious values of program elements with SFL techniques in different
metaphors. Some tools use textual representation and others a
visual representation. In this paper, we compare two SFL debugging
tools. Jaguar presents the most suspicious elements of a program
in a list sorted by suspicious values. CodeForest represents the program
in a three dimensional cacti forest. In this article are presented
the results of an evaluation with 119 students to assess the usability
perception of these tools to the fault localization by Technology
Acceptance Model (TAM). This model aims to help organizations
during the evaluation of new technologies. The results of study
show that Jaguar has greater usability than CodeForest; however,
the statistical effect size observed is low between them.