Abstract:Textual documentations are frequently used in the software development process to outline features and behaviors of an application. For some people, textual descriptions may not be enough to understand what is being developed. In this scenario, multimedia resources appear as an option for software documentation, providing other ways to observe and interpret information.ObjectiveTo identify and characterize the approaches and techniques which promote the use of multimedia in requirements engineering (RE) to sup… Show more
“…In other words, what will happen to Data Mining in this case is the addition of new features that can describe the data in new manners through the discovery of patterns, and/or that can execute useful predictions to the strategy. BI User Stories may be improved or new ones may be created, by also considering the use of dynamic medias (multimedia) associated with the project, which can contain recordings of interviews and reports of clients about the desired features, such as those suggested in (Colaço Júnior et al, 2017) and in (Santos et al, 2020). Therefore, in this subactivity, the delivery object is the overall data mining goal, as well as the predictions and new visualization ways that will be available, based on the GQM questions (or strategic goals), in order to generally describe the visual and predictive insights of the current increment of the mining project, from the viewpoint of the Specific Client or the Specific Area, in the context of the business organization, influenced by the selected goal and the current increment of the mining project.…”
Section: Write the Overall Increment Goal Based On The Gqm Questionsmentioning
The Big Data phenomenon has imposed maturity on companies regarding the exploration of their data, as a prerogative to obtain valuable insights into their clients and the power of analysis to guide decision-making processes. Therefore, a general approach that describes how to extract knowledge for the execution of the business strategy needs to be established. The purpose of this research paper is to introduce and evaluate the implementation of a process for the experimental development of Data Mining (DM), AI and Data Science applications aligned with the strategic planning. A case study with the proposed process was conducted in a federal educational institution. The results generated evidence showing that it is possible to integrate a strategic alignment approach, an experimental method, and a methodology for the development of DM applications. Data Mining (DM) and Data Science (DS) applications also present the risks of other Information Systems, and the adoption of strategy-driven and scientific method processes are critical success factors. Moreover, it was possible to conclude that the application of the scientific method was facilitated, besides being an important tool to ensure the quality, reproducibility and transparency of intelligent applications. In conclusion, the process needs to be mapped to foment and guide the strategic alignment.
“…In other words, what will happen to Data Mining in this case is the addition of new features that can describe the data in new manners through the discovery of patterns, and/or that can execute useful predictions to the strategy. BI User Stories may be improved or new ones may be created, by also considering the use of dynamic medias (multimedia) associated with the project, which can contain recordings of interviews and reports of clients about the desired features, such as those suggested in (Colaço Júnior et al, 2017) and in (Santos et al, 2020). Therefore, in this subactivity, the delivery object is the overall data mining goal, as well as the predictions and new visualization ways that will be available, based on the GQM questions (or strategic goals), in order to generally describe the visual and predictive insights of the current increment of the mining project, from the viewpoint of the Specific Client or the Specific Area, in the context of the business organization, influenced by the selected goal and the current increment of the mining project.…”
Section: Write the Overall Increment Goal Based On The Gqm Questionsmentioning
The Big Data phenomenon has imposed maturity on companies regarding the exploration of their data, as a prerogative to obtain valuable insights into their clients and the power of analysis to guide decision-making processes. Therefore, a general approach that describes how to extract knowledge for the execution of the business strategy needs to be established. The purpose of this research paper is to introduce and evaluate the implementation of a process for the experimental development of Data Mining (DM), AI and Data Science applications aligned with the strategic planning. A case study with the proposed process was conducted in a federal educational institution. The results generated evidence showing that it is possible to integrate a strategic alignment approach, an experimental method, and a methodology for the development of DM applications. Data Mining (DM) and Data Science (DS) applications also present the risks of other Information Systems, and the adoption of strategy-driven and scientific method processes are critical success factors. Moreover, it was possible to conclude that the application of the scientific method was facilitated, besides being an important tool to ensure the quality, reproducibility and transparency of intelligent applications. In conclusion, the process needs to be mapped to foment and guide the strategic alignment.
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