# name
Desarrollo de la integración de la herramienta Recover en una solución de business intelligence para la gestión de la calidad del software

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Albert Tort Pugibet i Simone Balocco

# metadata.dc.description.abstract[].value
Software errors have an economic and social impact for organizations and, in general, for society. Continuous quality assurance requires analytical visualization in dashboards of information from different tools that support the software development and validation process.
Sogeti has developed an innovative tool called Recover, which allows the design of software tests in a structured way and generate UML models and documentation from these tests in a semi-automatic way. This tool generates information that can be useful for the management of software quality (for example, coverage of the tests with respect to the model in each version, functional areas that require greater intensity of the tests, evolution of knowledge along the System life, ...) that adds value to the current metrics of analysis and quality management, beyond the number of test cases.
In this final grade paper, the functionalities of exporting the information of this proprietary tool for its treatment in a business intelligence tool called Power BI (Microsoft) will be developed. In this way, the control panels used to manage the quality of the software in companies will be able to incorporate aggregated data from Recover and with a professional and interactive visualization of these control panels.

# metadata.dc.rights[].value
memòria: cc-by-nc-sa (c) Sergio Garrido Garrido, 2017

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codi: GPL (c) Sergio Garrido Garrido, 2017

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.title[].value
Desarrollo de la integración de la herramienta Recover en una solución de business intelligence para la gestión de la calidad del software