A functional approach to program testing and analysis
IEEE Transactions on Software Engineering
Software testing techniques (2nd ed.)
Software testing techniques (2nd ed.)
Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
Partition testing, stratified sampling, and cluster analysis
SIGSOFT '93 Proceedings of the 1st ACM SIGSOFT symposium on Foundations of software engineering
Measuring software failure risk: methodology and an example
Journal of Systems and Software
On the Relationship Between Partition and Random Testing
IEEE Transactions on Software Engineering
Optimal Test Distributions for Software Failure Cost Estimation
IEEE Transactions on Software Engineering
A more general sufficient condition for partition testing to be better than random testing
Information Processing Letters
Using failure cost information for testing and reliability assessment
ACM Transactions on Software Engineering and Methodology (TOSEM)
On the Expected Number of Failures Detected by Subdomain Testing and Random Testing
IEEE Transactions on Software Engineering
Using Coverage Information to Predict the Cost-Effectiveness of Regression Testing Strategies
IEEE Transactions on Software Engineering
Choosing a testing method to deliver reliability
ICSE '97 Proceedings of the 19th international conference on Software engineering
All-uses vs mutation testing: an experimental comparison of effectiveness
Journal of Systems and Software
An experiment in estimating reliability growth under both representative and directed testing
Proceedings of the 1998 ACM SIGSOFT international symposium on Software testing and analysis
Further empirical studies of test effectiveness
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
Toward an integration of data flow and domain testing
Journal of Systems and Software
Art of Software Testing
Engineering Software Under Statistical Quality Control
IEEE Software
A Cost-Effective Approach to Testing
IEEE Software
On some reliability estimation problems in random and partition testing
IEEE Transactions on Software Engineering
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Queue - Quality Assurance
Modelling the quality economics of defect-detection techniques
Proceedings of the 2006 international workshop on Software quality
A model and sensitivity analysis of the quality economics of defect-detection techniques
Proceedings of the 2006 international symposium on Software testing and analysis
A literature survey of the quality economics of defect-detection techniques
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Decimal floating-point in z9: an implementation and testing perspective
IBM Journal of Research and Development
How do we collect data for software reliability estimation?
Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies
Fault coverage of Constrained Random Test Selection for access control: A formal analysis
Journal of Systems and Software
An automated framework for software test oracle
Information and Software Technology
Jartege: a tool for random generation of unit tests for java classes
QoSA'05 Proceedings of the First international conference on Quality of Software Architectures and Software Quality, and Proceedings of the Second International conference on Software Quality
Artificial neural networks as multi-networks automated test oracle
Automated Software Engineering
Diversity oriented test data generation using metaheuristic search techniques
Information Sciences: an International Journal
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Early studies of random versus partition testing used the probability of detecting at least one failure as a measure of test effectiveness and indicated that partition testing is not significantly more effective than random testing. More recent studies have focused on proportional partition testing because a proportional allocation of the test cases (according to the probabilities of the subdomains) can guarantee that partition testing will perform at least as well as random testing. In this paper, we show that this goal for partition testing is not a worthwhile one. Guaranteeing that partition testing has at least as high a probability of detecting a failure comes at the expense of decreasing its relative advantage over random testing. We then discuss other problems with previous studies and show that failure to include important factors (cost, relative effectiveness) can lead to misleading results.