Humans and companies collect data all the time, smartphones, app logs, IoT and IIoT implementations, and others collect data mechanisms. Are collected different data kinds and formats. Data collected over regular intervals of time is termed time series data. This data, collected for specific purposes are used to understand patterns and derive insights for one […]
CPS system integrates physical and computational components for monitoring and controlling physical processes. CPS is a collection of computing devices communicating with one another and interacting with the physical world, via a network of sensors and actuators in a feedback loop. Some Features Reactive/Proactive Computation: reactive systems, that continuously interacts with the environment (includes or not people) through input and output. Nevertheless, we […]
The concern regarding Memory Safety-related vulnerabilities is not new; faults resulting from the lack of adherence in memory read and write operations have long been highlighted in the literature. Buffer overflows, buffer overheads, race-conditions, invalid page faults, initialization errors are types of faults of this nature.
EDA is an approach used in data analysis in which, given a set of data of interest, looking to present the main characteristics of this set, often through visual methods (graphs). The EDA is a way used to analyze and investigate data. The data extraction and analysis seek to show facts/events recorded at a given […]
Software metrics are used to measure code quality, code debugging, and performance optimization in computer programming are examples. There are several tools and methods to check source code aspects such as density, complexity, reliability, and other code properties. Halstead and McCabe’s Cyclomatic complexity are the most popular metrics for measuring the density and complexity of […]
Sentiment Analysis (SA) is a field of computing for studying opinions, feelings, and emotions expressed in texts. Besides computing, other areas are included, such as statistics, natural language processing (NLP), and linguistics. The junction of these areas can be used to detect different emotional states and reveal various behavioral and attitudinal patterns. Other techniques are […]
I started a project that visas to teach teenagers to computer programming. During the planning of this project, we discuss several things, mainly the technology for implementing the algorithms. Some people mentioned the language Python, while other playful tools such as the scratch. However, the language chosen was the C language. The fact that we […]
Nowadays, it is still common to find software systems designed with a monolithic architecture, mainly the legacy systems, even with the popularization of the Model View Control (MVC). The development of systems based on MVC, introduced by Trygve Reenskaug into Smalltalk-79, is a software design pattern, which the components of the software are organized in three layers, […]
Undoubtedly, data are the fuel of the current economy when they are transformed into reliable information. Who is responsible for such transformations? The responsible are Data Engineer, Data Analyst, Business Analyst, and Data Scientist. What do they do for it? The Data Engineer integrates data sources, building data pipelines, processing and transforms data, and stores […]
Before thinking about some Artificial Intelligence (IA) technique for applying in Competitive Intelligence (CI) is necessary to know the Business Planning (BP) of an organization where the CI will be implemented. Even using an approach as the CIbD, ignore the BP facets and their stakeholders can lead CI projects to failure. Business Analytics (BA) can […]
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