Open Architectures and Software Evolution: The Case of Software Ecosystems

Author(s):  
Patrizio Pelliccione
2019 ◽  
Author(s):  
Caio Steglich ◽  
Sabrina Marczak ◽  
Rodrigo Santos ◽  
Luiz Pedro Guerra ◽  
Luiz Henrique Mosmann ◽  
...  

The Software Evolution area brings applications to the Mobile era in which users want to use these applications on their mobile devices. A Mobile Software Ecosystem (MSECO) is the kind of ecosystems in which developers build applications to attend the needs of mobile technologies users (e.g., Android and iOS). Literature explains that the capability to attracting and retaining people (i.e., developers and users) is essencial to MSECO sustainability, i.e., to the MSECO survive along the years. In a previous work, we conducted a literature review that identified 6 factors that may influence developers to participate in an MSECO. In this study, we present a Field Study aiming to understand how these 6 identified factors may have influenced practitioners in real life projects.


2012 ◽  
Vol 3 (4) ◽  
pp. 103-104
Author(s):  
CHRISTABEL WILLIAMS ◽  
Keyword(s):  

2001 ◽  
Author(s):  
Murali Sitaraman ◽  
E. J. Harner

1984 ◽  
Vol 9 (3) ◽  
pp. 89-95
Author(s):  
N. Minsky ◽  
A. Borgida
Keyword(s):  

1984 ◽  
Vol 19 (5) ◽  
pp. 89-95 ◽  
Author(s):  
N. Minsky ◽  
A. Borgida
Keyword(s):  

2021 ◽  
Vol 11 (12) ◽  
pp. 5690
Author(s):  
Mamdouh Alenezi

The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering. One of the primary concepts of software evolution is that the internal quality of a software system declines when it evolves. In this paper, the method of evolution of the internal quality of object-oriented open-source software systems has been examined by applying a software metric approach. More specifically, we analyze how software systems evolve over versions regarding size and the relationship between size and different internal quality metrics. The results and observations of this research include: (i) there is a significant difference between different systems concerning the LOC variable (ii) there is a significant correlation between all pairwise comparisons of internal quality metrics, and (iii) the effect of complexity and inheritance on the LOC was positive and significant, while the effect of Coupling and Cohesion was not significant.


1975 ◽  
Author(s):  
A. Cicu ◽  
M. Maiocchi ◽  
R. Polillo ◽  
A. Sardoni
Keyword(s):  

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