The need to overcome the weaknesses of single estimation techniques for prediction tasks
has given rise to ensemble methods in software development effort estimation (SDEE). An …

The field of software‐development effort estimation explores ways of defining effort through
prediction approaches. Even though this field has a crucial impact on budgeting and project …

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 …

Background: Despite decades of research, there is no consensus on which software effort
estimation methods produce the most accurate models. Aim: Prior work has reported that …

We introduce a bi-objective effort estimation algorithm that combines Confidence Interval
Analysis and assessment of Mean Absolute Error. We evaluate our proposed algorithm on …

This research explores opinions about best practices in system dynamics modeling elicited
from a distinguished group of experts in the field. We address three questions: What do …

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 …

CONTEXT: In software industry, project managers usually rely on their previous experience
to estimate the number men/hours required for each software project. The accuracy of such …

Data miners can infer rules showing how to improve either (a) the effort estimates of a
project or (b) the defect predictions of a software module. Such studies often exhibit …

Background: There are too many design options for software effort estimators. How can we
best explore them all? Aim: We seek aspects on general principles of effort estimation that …