The HYPEX Model: From Opinions to Data-Driven Software Development

2014 ◽  
pp. 155-164 ◽  
Author(s):  
Helena Holmström Olsson ◽  
Jan Bosch
Author(s):  
Paulo Sérgio Santos Júnior ◽  
Monalessa Perini Barcellos ◽  
Ricardo de Almeida Falbo ◽  
João Paulo A. Almeida

Author(s):  
Xavier Franch ◽  
Cristina Gómez ◽  
Andreas Jedlitschka ◽  
Lidia López ◽  
Silverio Martínez-Fernández ◽  
...  

Author(s):  
Lili Aunimo ◽  
Ari V. Alamäki ◽  
Harri Ketamo

Constructing a big data governance framework is important when a company performs data-driven software development. The most important aspects of big data governance are data privacy, security, availability, usability, and integrity. In this chapter, the authors present a business case where a framework for big data governance has been built. The business case is about the development and continuous improvement of a new mobile application that is targeted for consumers. In this context, big data is used in product development, in building predictive modes related to the users and for personalization of the product. The main finding of the study is a novel big data governance framework and that a proper framework for big data governance is useful when building and maintaining trustworthy and value adding big data-driven predictive models in an authentic business environment.


2014 ◽  
Author(s):  
Serkan Dursun ◽  
Kaan Duman ◽  
Tayfun Tuna ◽  
Mamta Abbas ◽  
James Ding

IEEE Software ◽  
2004 ◽  
Vol 21 (3) ◽  
pp. 39-47 ◽  
Author(s):  
M. Denne ◽  
J. Cleland-Huang

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