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A framework to preserve confidentiality in crowdsourced software development

Published: 20 May 2017 Publication History

Abstract

We propose a framework to preserve confidential information in a crowdsourced software development. The software industry is moving towards gig economy where majority of workforce is freelancers. The freelancers may have varying level of trust. Hence, protection of confidential information is becoming an increasingly important subject. In this paper, we discuss various challenges in protecting sensitive information in software development projects and propose a confidentiality preserving software development process. We perform a preliminary evaluation of the process. We use an information theoretic approach to protect confidential information. Results demonstrate the feasibility of the framework and uncovers several aspects that requires further research studies.

References

[1]
Intuit Forecast: 7.6 Million People in On-Demand Economy by 2020. http://investors.intuit.com/press-releases/press-release-details/2015/Intuit-Forecast-76-Million-People-in-On-Demand-Economy-by-2020/default.aspx. Last accessed 20-Jan-2017.
[2]
H. T. Zheng, C. Borchert, and H. Kim, "A concept-driven automatic ontology generation approach for conceptualization of document Corpora," Proc. WI 2008.
[3]
S. Pierangela, and L. Sweeney, "Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression," Technical report, SRI International, 1998.
[4]
S. David, M. Batet, and A. Viejo, "Detecting Term relationships to Improve Textual Document Sanitization," Proc. Pacific Asia Conference on Information Systems 2013.
[5]
TopCoder. http://www.topcoder.com. Accessed: 2016-10-22.

Cited By

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  • (2018)Confidentiality in the process of (model-driven) software developmentCompanion Proceedings of the 2nd International Conference on the Art, Science, and Engineering of Programming10.1145/3191697.3191714(1-8)Online publication date: 9-Apr-2018

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cover image ACM Conferences
ICSE-C '17: Proceedings of the 39th International Conference on Software Engineering Companion
May 2017
558 pages
ISBN:9781538615898

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IEEE Press

Publication History

Published: 20 May 2017

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Author Tags

  1. crowdsourcing
  2. information sanitization
  3. software development

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  • Research-article

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ICSE '17
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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Cited By

View all
  • (2018)Confidentiality in the process of (model-driven) software developmentCompanion Proceedings of the 2nd International Conference on the Art, Science, and Engineering of Programming10.1145/3191697.3191714(1-8)Online publication date: 9-Apr-2018

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