This paper aims to provide a basis for the improvement of software-estimation research
through a systematic review of previous work. The review identifies 304 software cost …

Context: Ever since the emergence of agile methodologies in 2001, many software
companies have shifted to Agile Software Development (ASD), and since then many studies …

Performance metrics (error measures) are vital components of the evaluation frameworks in
various fields. The intention of this study was to overview of a variety of performance metrics …

Aim/Purpose: The aim of this study was to analyze various performance metrics and
approaches to their classification. The main goal of the study was to develop a new typology …

Surveys show that the mean absolute percentage error (MAPE) is the most widely used
measure of prediction accuracy in businesses and organizations. It is, however, biased …

Quantitative assessment of modeling and forecasting of continuous quantities uses a variety
of approaches. We review existing literature describing metrics for forecast accuracy and …

Although there has been substantial research in software analytics for effort estimation in
traditional software projects, little work has been done for estimation in agile projects …

CONTEXT: Software engineering has a problem in that when we empirically evaluate
competing prediction systems we obtain conflicting results. OBJECTIVE: To reduce the …

Scientific data represents a significant portion of the linked open data cloud and scientists
stand to benefit from the data fusion capability this will afford. Publishing linked data into the …

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 …