Tuning anonymity level for assuring high data quality: an empirical study.

E
ESEM
2007
First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)
Abstract - Tuning anonymity level for assuring high data quality: an empirical study.

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First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007)

Madrid, Spain

September 20-September 21

ISBN: 0-7695-2886-4

	ASCII Text	x
	Gerardo Canfora, Corrado Aaron Visaggio, "Tuning anonymity level for assuring high data quality: an empirical study.," Empirical Software Engineering and Measurement, International Symposium on, pp. 91-98, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007.

	BibTex	x
	@article{ 10.1109/ESEM.2007.23, author = {Gerardo Canfora and Corrado Aaron Visaggio}, title = {Tuning anonymity level for assuring high data quality: an empirical study.}, journal ={Empirical Software Engineering and Measurement, International Symposium on}, volume = {0}, year = {2007}, issn = {1938-6451}, pages = {91-98}, doi = {http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.23}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Empirical Software Engineering and Measurement, International Symposium on TI - Tuning anonymity level for assuring high data quality: an empirical study. SN - 1938-6451 SP91 EP98 A1 - Gerardo Canfora, A1 - Corrado Aaron Visaggio, PY - 2007 KW - null VL - 0 JA - Empirical Software Engineering and Measurement, International Symposium on ER -

Gerardo Canfora, University of Sannio Benevento, Italy

Corrado Aaron Visaggio, University of Sannio Benevento, Italy

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ESEM.2007.23

Preserving data privacy is posing new challenges to software engineering researchers. Current technologies can be too cumbersome, pervasive or costly to be successfully applied in dynamic and complex scenarios where data exchange occurs among a large number of applications.

Anonymization techniques seem to be a promising candidate, even if preliminary investigations suggest that they could deteriorate the quality of data.

An empirical study has been carried out in order to understand the relationship between the anonymization level and the degradation of data quality.

Citation:

Gerardo Canfora, Corrado Aaron Visaggio, "Tuning anonymity level for assuring high data quality: an empirical study.," esem, pp.91-98, First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 2007

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