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http://cimat.repositorioinstitucional.mx/jspui/handle/1008/980
SMART-SPI : A data analysis model for software process improvement | |
FREDDY IÑIGUEZ LOPEZ | |
Acceso Abierto | |
Atribución-NoComercial | |
INGENIERÍA EN SOFTWARE | |
Nowadays, software is everywhere. From simple applications to complicated pieces of software, these software products and services facilitate our day-to-day activities, but they also need to be high-quality products in order to guarantee their reliability, security, good performance, and usability. In this context, software development organizations have realized that product’s quality largely depends on the quality of the processed followed to build software. Software Process Improvement (SPI) initiative is set of best practices designed to improve software processes through the evaluation of the current organizational practices, competencies, and experiences. However, these SPI initiatives have presented some issues and challenges that complicate their success and preclude software organizations to get improvements. Most of these issues are related to how organizations manage, analyze and use their own data to improve decision-making. The purpose of this research is to present the SMART-SPI model, an 8-phase flexible reference model for implementing SPI initiatives. This model proposal takes advantage of business information to improve decision-making and is developed to solve the current issues and challenges of data analysis for SPI. | |
31-01-2018 | |
Trabajo de grado, maestría | |
CÓDIGO Y SISTEMAS DE CODIFICACIÓN | |
Versión aceptada | |
acceptedVersion - Versión aceptada | |
Aparece en las colecciones: | Tesis del CIMAT |
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