Software estimation is a tedious and daunting task in project management and software
development. Software estimators are notorious in predicting software effort and they have …

Over the last two decades, there has been an important increase in studies dealing with the
software development effort estimation (SDEE) using machine learning (ML) techniques that …

Much research energy in software engineering is focused on the creation of effort and defect
prediction models. Such models are important means for practitioners to judge their current …

In this study, we introduce a new type of coherence membership function to describe fuzzy
concepts, which builds upon the theoretical findings of the Axiomatic Fuzzy Set (AFS) theory …

The development of Web applications has a crucial role as most organizations have their
own corporate Web applications to meet the needs of their respective businesses. Different …

Abstract Software Cost Estimation (SCE) is one of important topics in producing software in
recent decades. Real estimation requires cost and effort factors in producing software by …

Software effort prediction is an important task in the software development life cycle. Many
models including regression models, machine learning models, algorithmic models, expert …

The decision tree (DT) represents a nonparametric estimation method that has been mostly
used for both classification and regression problems. DTs were adopted for software …

In spite of the several software effort estimation models developed over the last 30 years,
providing accurate estimates of the software project under development is still unachievable …

Accurate software effort estimation has been a challenge for many software practitioners and
project managers. Underestimation leads to disruption in the project's estimated cost and …