Selected Publications

. An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data. ESA, 2022.

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. Toward an Architecture for Comparing UML Design Models. In Journal of Software (JSW). v. 12, p. 559-569, 2017.

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. Comparison of Design Models: A Systematic Mapping Study. International Journal of Software Engineering and Software Engineering (IJSEKE). v. 25, Issue 09n10, p. 1765-1769, 2015.

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. Model Comparison: A Sistematic Mapping Study. In 27th International Conference on Software Engineering and Knowledge Engineering (SEKE 2015), 2015.

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Recent Publications

. An empirical evaluation of machine learning techniques to classify code comprehension based on EEG data. ESA, 2022.

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. Modeling Composition of UML Profiles with Alloy. International Journal of Computer Science and Software Engineering (IJCSSE). v. 6, Issue 10, p. 223-232, 2017.

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. Toward an Architecture for Comparing UML Design Models. In Journal of Software (JSW). v. 12, p. 559-569, 2017.

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. Towards an Architecture for Integration of Feature Models. International Journal of Computer Science and Software Engineering (IJCSSE). v. 5, n. 12, p. 264-271, 2016.

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. Detecting Inconsistences in Multi-view UML Models. International Journal of Computer Science and Software Engineering (IJCSSE). v. 5, n. 12, p. 259-263, 2016.

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. Comparison of Design Models: A Systematic Mapping Study. International Journal of Software Engineering and Software Engineering (IJSEKE). v. 25, Issue 09n10, p. 1765-1769, 2015.

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. Model Comparison: A Sistematic Mapping Study. In 27th International Conference on Software Engineering and Knowledge Engineering (SEKE 2015), 2015.

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. Toward an Architecture for Model Composition Techniques. In 27th International Conference on Software Engineering and Knowledge Engineering (SEKE 2015), 2015.

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. A programming model oriented to the development of ubiquitous systems. Revista Brasileira de Computação Aplicada (RBCA). v. 6, p. 95-107, 2014.

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Projects

Composition of Software Design Models: Metrics and Experimental Studies

Model composition plays a key role in many Software Engineering activities, for example, in the evolution of software models to add new features. Given the context, many techniques for composition of software models have arisen to support the integration of design models, enhance the maintainability of software artifacts, and minimize the effort invested by developers. However, there are many problems related to the composition of software design models such as, the imprecision and rigity of model composition assessment, and the lack of effectiveness on composition. For this, this project has the objective of (i) defining a flexible way of evaluating the composition of models effectively; and (ii) producing empirical evidence on the development of software systems.

Digital Modeling of Outcrops Using GPU - MODA

The study of similar outcrops is one of the main tools used to characterize the heterogeneity of oil reservoirs. For this purpose, it is possible to use the Laser Scanner who captures three-dimensional points as well as images of the surface of the outcrop. This new technique of digital mapping allows the acquisition of an enormous amount of points. Thus, the main objective of the project is to develop a digital geological modeler based on GPU (Graphics Processing Unit), capable of reading huge volumes of data from the Laser Scanner, rendering them and visualizing them in real time. In addition, techniques for 3D projection, measurement, interpretation and data sharing with other tools will be studied and developed, as well as the utilization of mobile devices to analyze geologic assets. Another challenge of the project is to recover voids in the cloud of points, caused by occlusion of vegetation and shadows.

Awards

  • Feature Student Award - Computing Brazilian Society (SBC) - 2014 Computer Science Class