Practical data-swapping: the first steps
ACM Transactions on Database Systems (TODS)
Constraint-Based Automatic Test Data Generation
IEEE Transactions on Software Engineering
Undecidability of static analysis
ACM Letters on Programming Languages and Systems (LOPLAS)
Software Development
Non-reversible privacy transformations
PODS '82 Proceedings of the 1st ACM SIGACT-SIGMOD symposium on Principles of database systems
Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Revealing information while preserving privacy
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A family of test adequacy criteria for database-driven applications
Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering
Compositional dynamic test generation
Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
ICSE '07 Proceedings of the 29th international conference on Software Engineering
A System to Generate Test Data and Symbolically Execute Programs
IEEE Transactions on Software Engineering
On static and dynamic methods for condensation-based privacy-preserving data mining
ACM Transactions on Database Systems (TODS)
Better bug reporting with better privacy
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
Privacy-Preserving Data Mining: Models and Algorithms
Privacy-Preserving Data Mining: Models and Algorithms
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
On the tradeoff between privacy and utility in data publishing
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Anonymized data: generation, models, usage
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Penumbra: automatically identifying failure-relevant inputs using dynamic tainting
Proceedings of the eighteenth international symposium on Software testing and analysis
Software Engineering Best Practices
Software Engineering Best Practices
Measuring risk and utility of anonymized data using information theory
Proceedings of the 2009 EDBT/ICDT Workshops
An empirical investigation into a large-scale Java open source code repository
Proceedings of the 2010 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement
Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques
Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques
MODA: automated test generation for database applications via mock objects
Proceedings of the IEEE/ACM international conference on Automated software engineering
Is Data Privacy Always Good for Software Testing?
ISSRE '10 Proceedings of the 2010 IEEE 21st International Symposium on Software Reliability Engineering
Camouflage: automated anonymization of field data
Proceedings of the 33rd International Conference on Software Engineering
kb-anonymity: a model for anonymized behaviour-preserving test and debugging data
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
Regression testing minimization, selection and prioritization: a survey
Software Testing, Verification & Reliability
Proceedings of the 34th International Conference on Software Engineering
kbe-anonymity: test data anonymization for evolving programs
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Guided test generation for database applications via synthesized database interactions
ACM Transactions on Software Engineering and Methodology (TOSEM)
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Database-centric applications (DCAs) are common in enterprise computing, and they use nontrivial databases. Testing of DCAs is increasingly outsourced to test centers in order to achieve lower cost and higher quality. When proprietary DCAs are released, their databases should also be made available to test engineers. However, different data privacy laws prevent organizations from sharing this data with test centers because databases contain sensitive information. Currently, testing is performed with anonymized data, which often leads to worse test coverage (such as code coverage) and fewer uncovered faults, thereby reducing the quality of DCAs and obliterating benefits of test outsourcing. To address this issue, we offer a novel approach that combines program analysis with a new data privacy framework that we design to address constraints of software testing. With our approach, organizations can balance the level of privacy with needs of testing. We have built a tool for our approach and applied it to nontrivial Java DCAs. Our results show that test coverage can be preserved at a higher level by anonymizing data based on their effect on corresponding DCAs.