CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …

The objective of this paper is to determine under what circumstances individual
organizations would be able to rely on cross-company-based estimation models. We …

During the last two decades, there has been substantial research performed in the field of
software estimation using machine learning algorithms that aimed to tackle deficiencies of …

Abstract Context Systematic Literature Reviews (SLRs) have been adopted within Software
Engineering (SE) for more than a decade to provide meaningful summaries of evidence on …

The mean magnitude of relative error, MMRE, is probably the most widely used evaluation
criterion for assessing the performance of competing software prediction models. One …

Software Cost Estimation can be described as the process of predicting the most realistic
effort required to complete a software project. Due to the strong relationship of accurate effort …

A predictive model is required to be accurate and comprehensible in order to inspire
confidence in a business setting. Both aspects have been assessed in a software effort …

Empirical studies on software prediction models do not converge with respect to the
question" which prediction model is best?" The reason for this lack of convergence is poorly …

Missing data are often encountered in data sets used to construct software effort prediction
models. Thus far, the common practice has been to ignore observations with missing data …

As the number of object-oriented software systems increases, it becomes more important for
organizations to maintain those systems effectively. However, currently only a small number …