ANALYSIS TOOLS FOR SOFTWARE DEVELOPMENT

• DOI: https://doi.org/10.22533/at.ed.3174232418098

• Palavras-chave: Aplicación móvil, Datos, Impresión, Recolección, Software

• Keywords: Mobile application, Data, Printing, Collection, Software

• Abstract:

  In addition to the educational programs, higher education institutions provide complementary services that facilitate school activities, such as printing services, which are essential for the delivery of work and documentation necessary for the development of skills. Currently, the institute only offers this service in one of its nine buildings, serving an enrollment of 2,579 students, as well as teaching and administrative staff. Given the high demand, it is necessary to optimize resources and time to speed up the printing process. Therefore, there is a need to develop a mobile application managed through the telecommunications network. This application would allow the management of printing charges and would control both the users, through a login, and the files to be printed. The article aims to provide an overview of data collection techniques used in mobile application development. Modern mobile applications collect large amounts of valuable data that help developers to better understand users and improve their experience. Passive data collection techniques, which do not require user intervention, are discussed first. These include event logging, which captures interactions with the application and provides information on usage patterns, session duration and actions taken, as well as error logs and performance metrics that identify technical issues and improve overall performance. In addition, active data collection techniques are discussed, which require direct user participation, such as in-application surveys and questionnaires that collect demographic information, preferences, and feedback on the user experience. Usability testing, where users perform specific tasks in the application and their interactions and comments are recorded, is also mentioned. Contextualized data collection techniques that use sensors and mobile device features to obtain additional data such as geographic location, device movement, light level, and social network connectivity are discussed. These techniques enrich the understanding of user behavior and enable more effective personalization of the app experience. It also highlights ethical and privacy considerations in data collection, stressing the importance of obtaining informed consent and adequately protecting and anonymizing the data collected.