The craft of software testing: subsystem testing including object-based and object-oriented testing
The craft of software testing: subsystem testing including object-based and object-oriented testing
Alloy: a lightweight object modelling notation
ACM Transactions on Software Engineering and Methodology (TOSEM)
CUTE: a concolic unit testing engine for C
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Generating Queries with Cardinality Constraints for DBMS Testing
IEEE Transactions on Knowledge and Data Engineering
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
Handbook of Constraint Programming (Foundations of Artificial Intelligence)
Principles of Constraint Programming
Principles of Constraint Programming
QAGen: generating query-aware test databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Dynamic test input generation for database applications
Proceedings of the 2007 international symposium on Software testing and analysis
ISSTA '08 Proceedings of the 2008 international symposium on Software testing and analysis
Query-Aware Test Generation Using a Relational Constraint Solver
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
ICFEM '09 Proceedings of the 11th International Conference on Formal Engineering Methods: Formal Methods and Software Engineering
Constraint-based test database generation for SQL queries
Proceedings of the 5th Workshop on Automation of Software Test
Full predicate coverage for testing SQL database queries
Software Testing, Verification & Reliability
MODA: automated test generation for database applications via mock objects
Proceedings of the IEEE/ACM international conference on Automated software engineering
DART: directed automated random testing
HVC'09 Proceedings of the 5th international Haifa verification conference on Hardware and software: verification and testing
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There are many cases where the development and testing of data-intensive applications need to be supported without the prior existence of data. Our work presents a dynamic test data generation framework for testing such applications. This capability is important, when the data is confidential and cannot be given to the test person for security reasons or when the application is in its development phase and real data does not yet exist. The proposed solution dynamically intercepts queries made by the application under test and creates appropriate data based on user requirements. This approach does not require access to the source code of the application under test, which could also be confidential. Data generation can be controlled to achieve desired data and query result patterns, including realistic data or data with higher test quality. The paper concludes with experiments that demonstrate the coverage and performance aspects of the solution.