Selecting Software Test Data Using Data Flow Information
IEEE Transactions on Software Engineering
An Applicable Family of Data Flow Testing Criteria
IEEE Transactions on Software Engineering
Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
Data flow coverage and the C language
TAV4 Proceedings of the symposium on Testing, analysis, and verification
Investigations of the software testing coupling effect
ACM Transactions on Software Engineering and Methodology (TOSEM)
Validation of ultrahigh dependability for software-based systems
Communications of the ACM
On the Expected Number of Failures Detected by Subdomain Testing and Random Testing
IEEE Transactions on Software Engineering
Handbook of software reliability engineering
Handbook of software reliability engineering
Experiments of the effectiveness of dataflow- and controlflow-based test adequacy criteria
ICSE '94 Proceedings of the 16th international conference on Software engineering
All-uses vs mutation testing: an experimental comparison of effectiveness
Journal of Systems and Software
Evaluating Testing Methods by Delivered Reliability
IEEE Transactions on Software Engineering
Further empirical studies of test effectiveness
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
The Infeasibility of Quantifying the Reliability of Life-Critical Real-Time Software
IEEE Transactions on Software Engineering
A Formal Analysis of the Fault-Detecting Ability of Testing Methods
IEEE Transactions on Software Engineering
An Experimental Comparison of the Effectiveness of Branch Testing and Data Flow Testing
IEEE Transactions on Software Engineering
Provable Improvements on Branch Testing
IEEE Transactions on Software Engineering
An Empirical Evaluation of Weak Mutation
IEEE Transactions on Software Engineering
Proceedings of the 27th international conference on Software engineering
An Empirical Study of Test Case Filtering Techniques Based on Exercising Information Flows
IEEE Transactions on Software Engineering
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Many analytical and empirical studies of software testing effectiveness have used the probability that a test set exposes at least one fault as the measure of effectiveness. That measure is useful for evaluating testing techniques when the goal of testing is to gain confidence that the program is free from faults. However, if the goal of testing is to improve the reliability of the program (by discovering and removing those faults that are most likely to cause failures when the software is in the field) then the measure of test effectiveness must distinguish between those faults that are likely to cause failures and those that are unlikely to do so. Delivered reliability was previously introduced as a means of comparing testing techniques in that setting. This paper empirically compares reliability delivered by three testing techniques, branch testing, the all-uses data flow testing criterion, and operational testing. The subject program is a moderate-sized C-program (about 10,000 LOC) produced by professional programmers and containing naturally occurring faults.