Sodel Vazquez-Reyes

Knowledge representation and information extraction for analysing architectural patterns

We examine time and recall of automated and manual pattern analysis.Time and recall were always better for the automated analysis.Recall decreased when analysing heterogeneous pattern descriptions. Today, many software architecture design methods consider the use of architectural patterns as a fundamental design concept. When making an effective pattern selection, software architects must consider, among other aspects, its impact on promoting or inhibiting quality attributes. However, for inexperienced architects, this task often requires significant time and effort. Some reasons of the former include: the number of existing patterns, the emergence of new patterns, the heterogeneity in the natural language descriptions used to define them and the lack of tools for automatic pattern analysis. In this paper we describe an approach, based on knowledge representation and information extraction, for analysing architectural pattern descriptions with respect to specific quality attributes. The approach is automated by computable model that works as a prototype tool. We focus on the performance quality attribute and, by performing experiments on a corpus of patterns with forty-five architects of varying levels of experience, demonstrate that the proposed approach increases recall and reduces analysis time compared to manual analysis.

A Serious Game to Promote Object Oriented Programming and Software Engineering Basic Concepts Learning

Nowadays, different serious game projects help the teaching-learning process of Object Oriented Programming (OOP) or Software Engineering (SE) concepts, but none of these projects are doing an integration of both fields for knowledge to children. The research presented in this paper proposes a serious game to help comprehension of basic concepts and attributes of OOP and SE to promote teaching-learning process of these concepts for children older than eight years old through Android devices.

Automated Configuration of Monitoring Systems in an Immutable Infrastructure

Automated monitoring of Information Technology resources allows for the treatment of issues relating to availability, capacity, and other quality requirements. Currently, the use of monitoring systems in immutable infrastructures requires manually updating configurations every time a new server is launched, which is often time consuming and error prone. In this work, we propose a process to automate the configuration of monitoring systems in an immutable infrastructure. The process works for monitoring daemon services (Although Monit has the ability to monitor many other aspects of operating systems, this article only exposes the automation of the configuration of services or processes.) running in Debian-based operating systems and involves the use of technologies such as Ansible, Monit, and Slack. In contrast to manually updating configurations, the main advantages of the proposed method are: a reduction in time and user-friendliness when configuring the monitoring system.

Recuperación de información a través del índice invertido en Be Intelligent

espanolLos avances en el almacenamiento de informacion han producido un aumento significativo de las colecciones de documentos digitales. La informacion contenida en estas colecciones es vital para la toma de decisiones, de manera que almacenar, indexar y recuperar informacion especifica de estas colecciones es clave en las organizaciones, como lo establece el concepto de “busqueda empresarial”. Sin embargo, con la informacion almacenada en diferentes medios y formatos de archivo, la recuperacion es una tarea compleja que los sistemas basados en palabras clave no resuelven completamente. Para proporcionar una solucion a la administracion de documentos digitales de ADD Intelligence in Aviation, se desarrollo el sistema Be Intelligent que utiliza un indice invertido para indexar y recuperar facilmente los contenidos de documentos que satisfacen una consulta hecha en lenguaje natural. De esta manera se reduce el tiempo para encontrar la informacion que la empresa necesita durante la inspeccion de aeronaves. EnglishAdvances in information storage have produced a significant rise of digital document collections. The information contained in these collections is vital to decision making, so store, index and recover specific information from these collections is key in organizations, as “enterprise search” concept establishes. However, with information stored in different media and file formats, retrieval is a complex task that systems based on keywords do not completely solve. To offer a solution to store, index and recover digital document contents for ADD Intelligence in Aviation enterprise, Be Intelligent system was developed. Be Intelligent uses an inverted index to easily index and recover the contents of documents that satisfy a natural language query. As a result, time to find information needed to inspect airplanes, is reduced.

Towards Detecting MVC Architectural Smells

The term “bad smell” denotes a symptom of poor design or implementation that negatively impacts a software system’s properties. The research community has been actively identifying the characteristics of bad smells bad smells as well as developing approaches for detecting and fixing them. However, most of these efforts focus on smells that occur at code level: little consideration is given to smells that occur at higher levels of abstraction. This paper presents an initial effort to fill this gap by contributing to (i) the characterization of bad smells that are relevant to the Model-View-Controller architectural style and (ii) assessing the feasibility of their automatic detection using text analysis techniques in five systems, implemented with the Yii Framework. The obtained results show that the defined smells exist in practice and give some insight into which of them tend to occur more frequently. Regarding the automatic detection method, results show that it exhibits good performance and accuracy.

Mahi: Support tool for practicing first-degree alebraic equations

Maths are fundamental in all our activities inclusive daily activities. Dominate them is a challenge to people for all the ages because all this reasons we design and implement a tool that is based in a gamification that permit trough to game to get better the math skills specifically equations of first grade. It prove that students get better skills in resolve equations of first grade using Mahi. Therefore could be a complement for all the students that are studying some course of algebra because all the practice increase the ability to resolve it.

The Use of Inverted Index to Information Retrieval: ADD Intelligent in Aviation Case Study

Nowadays store, index and retrieve information from document collections is a complex but necessary task. For this reason, information retrieval is fundamental to decision-making in companies. The Be Intelligent system offers a solution to storing, indexing and retrieval of documents content of ADD Intelligent Aviation company. The system performs searches through natural language expressions, presents the user a list of results containing document name, page, author, date and paragraph with search terms highlighted. The list of documents that meets the search is ordered by the relevance between the expression in natural language and the content of a document. Be Intelligent system provides support for administration, indexing and retrieval of digital documents that the company uses during inspections of aircraft, reducing time to retrieve information.

Answering Causal Questions and Developing Tool Support

People explore the world by asking questions about what is seen and felt. Thus, Question Answering is an attractive research area as a distinctive combination from a variety of disciplines, including artificial intelligence, information retrieval, information extraction, natural language processing and psychology. Psychological approaches focus more on theoretical aspects, whereas artificial intelligence, information retrieval, information extraction and natural language processing approaches investigate how practical Question Answering systems can be engineered.