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. ...

This paper presents a verification protocol for analyzing the source of inaccuracy in measurement activities of Function Points Analysis (FPA) and Automated Function Point (AFP). An empirical study was conducted with the ...

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 ...

La identificación de los requerimientos de seguridad es una tarea esencial que debe de ser abordada en las fases tempranas del ciclo de vida del desarrollo de software (SDLC). Usualmente es encomendada a ingenieros de ...

Los sistemas de apoyo a la toma de decisiones para la agricultura permiten optimizar los procesos de cultivo, al utilizar la menor cantidad de recursos (tierra, agua y fertilizantes). En esta investigación, se caracterizaron ...

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 ...

The complexity of providing accurate software effort prediction models is well known in the software industry. Several prediction models have been proposed in the literature using different techniques, with different ...

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 ...

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, ...

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 ...