![]() ![]() ![]() ![]() In this study, we validate an automated genetic framework, and then conduct a sensitivity analysis across different genetic configurations. The automated selection and the combination of techniques in alternative ways could improve the overall accuracy of the prediction models. The need for accurate effort predictions for projects is one of the most critical and complex issues in the software industry. Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. ![]()
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