Specification-based test oracles for reactive systems
ICSE '92 Proceedings of the 14th international conference on Software engineering
Using model checking to generate tests from requirements specifications
ESEC/FSE-7 Proceedings of the 7th European software engineering conference held jointly with the 7th ACM SIGSOFT international symposium on Foundations of software engineering
Introduction to algorithms
Synchronous Programming of Reactive Systems
Synchronous Programming of Reactive Systems
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Assessing and Improving State-Based Class Testing: A Series of Experiments
IEEE Transactions on Software Engineering
Is mutation an appropriate tool for testing experiments?
Proceedings of the 27th international conference on Software engineering
Designing and comparing automated test oracles for GUI-based software applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Differential testing: a new approach to change detection
Proceedings of the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Nonparametric Statistics with Applications to Science and Engineering (Wiley Series in Probability and Statistics)
The effect of program and model structure on mc/dc test adequacy coverage
Proceedings of the 30th international conference on Software engineering
Requirements Coverage as an Adequacy Measure for Conformance Testing
ICFEM '08 Proceedings of the 10th International Conference on Formal Methods and Software Engineering
DiffGen: Automated Regression Unit-Test Generation
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Mutation-driven generation of unit tests and oracles
Proceedings of the 19th international symposium on Software testing and analysis
Specification test coverage adequacy criteria = specification test generation inadequacy criteria
HASE'04 Proceedings of the Eighth IEEE international conference on High assurance systems engineering
Programs, tests, and oracles: the foundations of testing revisited
Proceedings of the 33rd International Conference on Software Engineering
Better testing through oracle selection (NIER track)
Proceedings of the 33rd International Conference on Software Engineering
Generating parameterized unit tests
Proceedings of the 2011 International Symposium on Software Testing and Analysis
An Analysis and Survey of the Development of Mutation Testing
IEEE Transactions on Software Engineering
Eclat: automatic generation and classification of test inputs
ECOOP'05 Proceedings of the 19th European conference on Object-Oriented Programming
Sequential equivalence checking based on structural similarities
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Understanding user understanding: determining correctness of generated program invariants
Proceedings of the 2012 International Symposium on Software Testing and Analysis
Does automated white-box test generation really help software testers?
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Observable modified Condition/Decision coverage
Proceedings of the 2013 International Conference on Software Engineering
| Hi-index | 0.00 |
In testing, the test oracle is the artifact that determines whether an application under test executes correctly. The choice of test oracle can significantly impact the effectiveness of the testing process. However, despite the prevalence of tools that support the selection of test inputs, little work exists for supporting oracle creation. In this work, we propose a method of supporting test oracle creation. This method automatically selects the oracle data â聙聰 the set of variables monitored during testingâ聙聰for expected value test oracles. This approach is based on the use of mutation analysis to rank variables in terms of fault-finding effectiveness, thus automating the selection of the oracle data. Experiments over four industrial examples demonstrate that our method may be a cost-effective approach for producing small, effective oracle data, with fault finding improvements over current industrial best practice of up to 145.8% observed.