Software development effort and cost estimation (SDECE) is one of the most important tasks
in the field of software engineering. A large number of research papers have been published …

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 …

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 …

Effort estimation is a key factor for software project success, defined as delivering software of
agreed quality and functionality within schedule and budget. Traditionally, effort estimation …

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: More than half the literature on software effort estimation (SEE) focuses on
model comparisons. Each of those requires a sampling method (SM) to generate the train …

The size of software project teams has been considered to be a driver of project productivity.
Although there is a large literature on this, new publicly available software repositories allow …

Multikollinearität bezeichnet eine lineare Abhängigkeit zwischen zwei oder mehr
unabhängigen Variablen. Es handelt sich dabei um ein zentrales Problem bei …

Background: Many cost estimation papers are based on finding a" new" estimation method,
trying out the method on one or two past datasets and" proving" that the new method is …

A critical issue in software project management is the accurate estimation of size, effort,
resources, cost, and time spent in the development process. Underestimates may lead to …