How Multi-Objective Genetic Programming Is Effective for Software Development Effort Estimation?

摘要

The idea of exploiting search-based methods to estimate development effort is based on the observation that the effort estimation problem can be formulated as an optimization problem. As a matter of fact, among possible estimation models, we have to identify the best one, i.e., the one providing the most accurate estimates. Nevertheless, in the context of effort estimation there does not exist a unique measure that allows us to compare different models and consistently derives the best one [1]. Rather, several evaluation criteria (e.g., MMRE and Pred(25)) covering different aspects of model performances (e.g., underestimating or overestimating) are used to assess and compare estimation models [1].