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 …

Software effort estimation accuracy is a key factor in effective planning, controlling, and
delivering a successful software project within budget and schedule. The overestimation and …

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 …

Unlike traditional defect prediction models that identify defect-prone modules, Just-In-Time
(JIT) defect prediction models identify defect-inducing changes. As such, JIT defect models …

While deep learning is an exciting new technique, the benefits of this method need to be
assessed with respect to its computational cost. This is particularly important for deep …

Context Due to the complex nature of software development process, traditional parametric
models and statistical methods often appear to be inadequate to model the increasingly …

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 …

General theories of software engineering must balance between providing full
understanding of a single case and providing partial understanding of many cases. In this …

At an early stage in the development process, a development team must obtain insight into
the software being developed to establish a reliable plan. Thus, the team members should …

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 …