<p>In the
software version release management process, there is a need, on the part of
human specialists, to classify the criticality of each software version However,
the subjectivity of this classification may be present according to the
experience acquired by specialists over the years. In order to reduce
subjectivity in the process, an Artificial Intelligence technique called the
Expert System (ES) can be applied to represent the knowledge of human
specialists and use it in problem solving. <a>Thus, the aim
of this paper was to reduce the subjectivity in the criticality classification
of the software version with the support of the Expert System. </a>To this end,
a questionnaire was developed with the objective of obtaining the criticality
opinions classified as High, Medium and Low in each specialist's software
version to assist in the preparation of the ES production rules. ES generated 17 production rules with a 100%
confidence level applied to a production database. The results of the classification carried out by the ES corresponded
to the classification carried out by the specialists in the production base,
that is, the ES was able to represent their knowledge. Then, another questionnaire was applied to
the specialists in order to verify the perception of satisfaction regarding the
use of the ES with a result obtained of 4.8, considered satisfactory. It
was concluded, then, that the ES supported the reduction of subjectivity in the
classification of the criticality of software version.</p>