Project analytics refers to applying analytical techniques and methods to past and present
data to gain insights into how the underlying project is performing. Machine learning (ML) …

Accurate effort estimation is necessary for efficient management of software development
projects, as it relates to human resource management. Ensemble methods, which employ …

Software effort estimation has constituted a significant research theme in recent years. The
more important provocation for project managers concerns reaching their targets within the …

Over the past decades, the software industry has expanded to include all industries. Since
stakeholders tend to use it to get their work done, software houses seek to estimate the cost …

Software project development requires a plan with accurate estimation of time, cost, scope
resource, manpower, and others that are needed for the development of a project. However …

Effort estimation is essential for successful software project planning, budgeting, and risk
identification. However, the techniques used to estimate effort are often inaccurate, outdated …

Creating successful projects is challenging and estimation of software development efforts is
thus an important activity of the software engineering community. It enables project …

This chapter delves into AI's application in software effort and cost estimation, beginning with
the foundational concepts of estimation. It highlights the challenges faced during various …

Suitability of an algorithm to the given job depends on the distribution characteristics of the
two classes in a binary-class dataset. A linear modelling algorithm will be more optimal on a …

This elaboration describes the conceptual identification of the capabilities of large language
models for cost estimation. For this purpose, the possibilities of the models for size …