What is he best known for?
The fields of study he is best known for:
- Software
- Artificial intelligence
- Software development
His main research concerns Software, Software development, Data mining, Artificial intelligence and Machine learning.
His work on Systems development life cycle as part of general Software research is often related to Problem statement, thus linking different fields of science.
The various areas that Luiz Fernando Capretz examines in his Software development study include Software engineering and Knowledge management.
The concepts of his Software engineering study are interwoven with issues in Personality and Software construction.
His Data mining research includes elements of Analysis effort method, Artificial neural network, Software quality, Software metric and Data set.
Luiz Fernando Capretz has researched Artificial intelligence in several fields, including Use Case Points and COCOMO.
His most cited work include:
- Personality types in software engineering (200 citations)
- Making Sense of Software Development and Personality Types (150 citations)
- Towards an early software estimation using log-linear regression and a multilayer perceptron model (126 citations)
What are the main themes of his work throughout his whole career to date?
Software, Software development, Software engineering, Knowledge management and Software development process are his primary areas of study.
His studies in Software integrate themes in fields like Quality, Machine learning, Data mining and Artificial intelligence.
His research in Data mining intersects with topics in Software sizing, Software metric and Fuzzy logic.
In his research on the topic of Software engineering, Software quality management is strongly related with Software product line.
His work on Critical success factor as part of general Knowledge management research is frequently linked to Empirical research, thereby connecting diverse disciplines of science.
His Software development process research is multidisciplinary, incorporating elements of Soft skills, Engineering ethics and Personality.
He most often published in these fields:
- Software (44.76%)
- Software development (31.47%)
- Software engineering (22.38%)
What were the highlights of his more recent work (between 2017-2021)?
- Software (44.76%)
- Software development process (15.03%)
- Engineering ethics (3.50%)
In recent papers he was focusing on the following fields of study:
His main research concerns Software, Software development process, Engineering ethics, Software development and Human Dimension.
His Software research is multidisciplinary, incorporating perspectives in Quality, Action plan, Software engineering and Soft skills.
His biological study spans a wide range of topics, including Software measurement, Port and Software portability.
He focuses mostly in the field of Software development process, narrowing it down to matters related to Nonlinear regression and, in some cases, Industrial engineering and Use Case Points.
His Software development course of study focuses on Data mining and Fuzzy logic, Function point and Selection.
In the field of Software system, his study on Software quality assurance overlaps with subjects such as Work.
Between 2017 and 2021, his most popular works were:
- Computer games are serious business and so is their quality: particularities of software testing in game development from the perspective of practitioners (8 citations)
- A Call to Promote Soft Skills in Software Engineering (7 citations)
- Finding an effective classification technique to develop a software team composition model (7 citations)
In his most recent research, the most cited papers focused on:
- Software
- Artificial intelligence
- Software development
The scientist’s investigation covers issues in Software, Context, Video game development, Engineering ethics and Set.
Specifically, his work in Software is concerned with the study of Software development.
His research integrates issues of Decision tree, Team composition, Decision rule and Personnel selection in his study of Software development.
His work deals with themes such as Key, Task, Task analysis and Usability, which intersect with Video game development.
The various areas that he examines in his Set study include Soft skills and Critical success factor.
His Software development process study combines topics from a wide range of disciplines, such as Teamwork, Software engineering and Interpersonal communication.
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