A SYSTEMATIC LITERATURE REVIEW ON METHODS FOR SOFTWARE EFFORT ESTIMATION

摘要

There have been many researchers who proposed research in an effort to develop the field of improving accuracy in the Software Effort Estimation (SEE). Collected results from a series of studies selected in the Software Effort Estimation, which was published in the period 2000-2017, using systematic mapping and review procedures. The purpose of this review is to provide a classification of study areas of SEE related to publication channels, research approaches, types of contributions, techniques used in combination. To analyze: 1) The precise estimation of SEE techniques; 2) Accuracy of the SEE model estimate compared with other models; 3) A favorable outcome context for the use of the SEE model; and 4) The impact of other techniques into the SEE model by combining models and implementation for models and tools. We have identified 74 major studies that are relevant to the purpose of this study. After investigating, we found that eight types of techniques were used in the Software effort estimation model. that techniques used for SEE usually produce acceptable estimation accuracy, and the facts are more accurate.