Empirical studies on the use of social software in global software development – A systematic mapping study

2013 ◽  
Vol 55 (7) ◽  
pp. 1143-1164 ◽  
Author(s):  
Rosalba Giuffrida ◽  
Yvonne Dittrich
SpringerPlus ◽  
2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Saad Yasser Chadli ◽  
Ali Idri ◽  
Joaquín Nicolás Ros ◽  
José Luis Fernández-Alemán ◽  
Juan M. Carrillo de Gea ◽  
...  

2018 ◽  
Vol 23 (6) ◽  
pp. 690-714 ◽  
Author(s):  
Manal El Bajta ◽  
Ali Idri ◽  
Joaquin Nicolas Ros ◽  
Jose Luis Fernandez-Aleman ◽  
Juan Manuel Carrillo de Gea ◽  
...  

2019 ◽  
Vol 22 (1) ◽  
Author(s):  
Miguel Ehecatl Morales-Trujillo ◽  
Gabriel Alberto García-Mireles ◽  
Erick Orlando Matla-Cruz ◽  
Mario Piattini

Protecting personal data in current software systems is a complex issue that requires legal regulations and constraints to manage personal data as well as a methodological support to develop software systems that would safeguard data privacy of their respective users. Privacy by Design (PbD) approach has been proposed to address this issue and has been applied to systems development in a variety of application domains. The aim of this work is to determine the presence of PbD and its extent in software development efforts. A systematic mapping study was conducted in order to identify relevant literature that collects PbD principles and goals in software development as well as methods and/or practices that support privacy aware software development. 53 selected papers address PbD mostly from a theoretical perspective with proposals validation based primarily on experiences or examples. The findings suggest that there is a need to develop privacy-aware methods to be integrated at all stages of software development life cycle and validate them in industrial settings.


Author(s):  
JARI VANHANEN ◽  
MIKA V. MÄNTYLÄ

Previous systematic literature reviews on pair programming (PP) lack in their coverage of industrial PP data as well as certain factors of PP such as infrastructure. Therefore, we conducted a systematic mapping study on empirical, industrial PP research. Based on 154 research papers, we built a new PP framework containing 18 factors. We analyzed the previous research on each factor through several research properties. The most thoroughly studied factors in industry are communication, knowledge of work, productivity and quality. Many other factors largely lack comparative data, let alone data from reliable data collection methods such as measurement. Based on these gaps in research further studies would be most valuable for development process, targets of PP, developers’ characteristics, and feelings of work. We propose how they could be studied better. If the gaps had been commonly known, they could have been covered rather easily in the previous empirical studies. Our results help to focus further studies on the most relevant gaps in research and design them based on the previous studies. The results also help to identify the factors for which systematic reviews that synthesize the findings of the primary studies would already be feasible.


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