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Identifying the implied: Findings from three differentiated replications on the use of security requirements templates 

Riaz, Maria; King, Jason; Slankas, John; Williams, Laurie; Massacci, Fabio; Quesada López, Christian Ulises; Jenkins Coronas, Marcelo (2017)
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 

Quesada López, Christian Ulises; Murillo Morera, Juan; Castro Herrera, Carlos; Jenkins Coronas, Marcelo (2016-11-09)
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, ...

An empirical evaluation of NASA-MDP data sets using a genetic defect-proneness prediction framework 

Murillo Morera, Juan; Quesada López, Christian Ulises; Castro Herrera, Carlos; Jenkins Coronas, Marcelo (2016-11-09)
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 ...
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Function Point Structure and Applicability: A Replicated Study 

Quesada López, Christian Ulises; Jenkins Coronas, Marcelo (2016)
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 ...
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An Empirical Validation of an Automated Genetic Software Effort Prediction Framework Using the ISBSG Dataset 

Murillo Morera, Juan; Quesada López, Christian Ulises; Castro Herrera, Carlos; Jenkins Coronas, Marcelo (2016-04)
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 ...

Trends in empirical research: the report on the 2014 Doctoral Symposium on Empirical Software Engineering 

Falessi, Davide; Codabux, Zadia; Rong, Guoping; Stamelos, Ioannis; Ferreira, Waldemar; Quesada López, Christian Ulises; Wiese, Igor Scaliante; Barreiros, Emanoel Francisco Spósito; Tsirakidis, Periklis (2015-09)
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. ...

Applying a Verification Protocol to Evaluate the Accuracy of Functional Size Measurement Procedures: An Empirical Approach 

Quesada López, Christian Ulises; Jenkins Coronas, Marcelo (2016-01-05)
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 ...
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A genetic algorithm based framework for software effort prediction 

Murillo Morera, Juan; Quesada López, Christian Ulises; Castro Herrera, Carlos; Jenkins Coronas, Marcelo (2017)
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 ...
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Automated Testing of Mobile Applications: A Systematic Map and Review 

Méndez Porras, Abel; Quesada López, Christian Ulises; Jenkins Coronas, Marcelo (2015-04)
Context: Software testing is a costly and time-consuming activity. Automated testing of mobile applications is considered complex and difficult. Indeed, several factors such as a variety of inputs (user, context, and ...

A Prototype Mobile Expert System for Nutritional Diagnosis 

Quesada López, Christian Ulises; Jenkins Coronas, Marcelo (2013)
This paper describes NUTRITION UCR, a prototype expert system for human nutritional diagnosis developed in Java on Android using a service-oriented architecture. The system runs on mobile devices and offers smart features ...
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