Now showing items 1-6 of 6
Trends in empirical research: the report on the 2014 Doctoral Symposium on Empirical Software Engineering
The 12th Doctoral Symposium on Empirical Software Engineering (IDOESE), was organized as a full day event prior to the ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM) program. ...
A genetic algorithm based framework for software effort prediction
Background: Several prediction models have been proposed in the literature using different techniques obtaining different results in different contexts. The need for accurate effort predictions for projects is one of the ...
Identifying the implied: Findings from three differentiated replications on the use of security requirements templates
Identifying security requirements early on can lay the foundation for secure software development. Security requirements are often implied by existing functional requirements but are mostly left unspecified. The Security ...
COSMIC Base Functional Components in Functional Size Based Effort Estimation Models
Software effort estimation models has been an area of considerable research for many years and it is still a challenge for software engineering. Although Functional Size Measurement (FSM) methods have become widely used, ...
Function Point Structure and Applicability: A Replicated Study
The complexity of providing accurate functional software size and effort prediction models is well known in the software industry. Function point analysis (FPA) is currently one of the most accepted software functional ...
An empirical evaluation of NASA-MDP data sets using a genetic defect-proneness prediction framework
In software engineering, software quality is an important research area. Automated generation of learning schemes plays an important role and represents an efficient way to detect defects in software projects, thus ...