Cited By
View all- Andrade VGomes RReinehr SFreitas CMalucelli A(2022)Privacy by Design and Software EngineeringProceedings of the XXI Brazilian Symposium on Software Quality10.1145/3571473.3571480(1-10)Online publication date: 7-Nov-2022
Towards DevOps for Privacy-by-Design in Data-Intensive Applications: A Research Roadmap
Authors: 
Michele Guerriero, Damian A. Tamburri, Youssef Ridene, Francesco Marconi, Marcello M. Bersani, Matej ArtacAuthors Info & Claims
Pages 139 - 144
Abstract
With the onset of Big Data and Data-Intensive Applications (DIAs) exploiting such big data, the problem of offering privacy guarantees to data owners becomes crucial, even more so with the emergence of DevOps development strategies where speed is paramount. This paper outlines this complex scenario and the challenges therein. On one hand, we outline a tool prototype that addresses the key challenge we found in industry, more specifically, assisting the process of continuous DIA architecting for the purpose of offering privacy-by-design guarantees. On the other hand we define a research roadmap in pursuit of a more correct and complete solution for ensured privacy-by-design in the context of Big Data DevOps.
References
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M. M. Bersani, D. Bianculli, C. Ghezzi, S. Krstić, and P. S. Pietro. Efficient large-scale trace checking using mapreduce. In Proceedings of the 38th International Conference on Software Engineering, pages 888--898. ACM, 2016.
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G. D'Acquisto, J. Domingo-Ferrer, P. Kikiras, V. Torra, Y. de Montjoye, and A. Bourka. Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics. CoRR, abs/1512.06000, 2015.
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Index Terms
- Towards DevOps for Privacy-by-Design in Data-Intensive Applications: A Research Roadmap
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Published In
April 2017
248 pages
ISBN:9781450348997
DOI:10.1145/3053600
- General Chairs:
- Walter Binder,
- Vittorio Cortellessa,
- Program Chairs:
- Anne Koziolek,
- Evgenia Smirni,
- Meikel Poess
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Published: 18 April 2017
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ICPE '17: ACM/SPEC International Conference on Performance Engineering
April 22 - 26, 2017
L'Aquila, Italy
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ICPE '17 Companion Paper Acceptance Rate 24 of 65 submissions, 37%;
Overall Acceptance Rate 252 of 851 submissions, 30%
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Cited By
View all- Andrade VGomes RReinehr SFreitas CMalucelli A(2022)Privacy by Design and Software EngineeringProceedings of the XXI Brazilian Symposium on Software Quality10.1145/3571473.3571480(1-10)Online publication date: 7-Nov-2022
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