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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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