Selecting Software Test Data Using Data Flow Information
IEEE Transactions on Software Engineering
Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Information Processing Letters
Designing programs that check their work
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
Theoretical comparison of testing methods
TAV3 Proceedings of the ACM SIGSOFT '89 third symposium on Software testing, analysis, and verification
Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
Comparison of program testing strategies
TAV4 Proceedings of the symposium on Testing, analysis, and verification
The infeasibility of experimental quantification of life-critical software reliability
SIGSOFT '91 Proceedings of the conference on Software for citical systems
Faults on its sleeve: amplifying software reliability testing
ISSTA '93 Proceedings of the 1993 ACM SIGSOFT international symposium on Software testing and analysis
Art of Software Testing
Engineering Software Under Statistical Quality Control
IEEE Software
Are We Testing for True Reliability?
IEEE Software
A Formal Analysis of the Fault-Detecting Ability of Testing Methods
IEEE Transactions on Software Engineering
Confidence-Based Reliability And Statistical Coverage Estimation
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Why Order Matters: Turing Equivalence in Automated Systems Administration
LISA '02 Proceedings of the 16th USENIX conference on System administration
Robustness Testing of Java Server Applications
IEEE Transactions on Software Engineering
Software debugging, testing, and verification
IBM Systems Journal
The influence of multiple artifacts on the effectiveness of software testing
Proceedings of the IEEE/ACM international conference on Automated software engineering
Programs, tests, and oracles: the foundations of testing revisited
Proceedings of the 33rd International Conference on Software Engineering
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Testing is potentially the best grounded part of software engineering, since it deals with the well defined situation of a fixed program and a test (a finite collection of input values). However, the fundamental theory of program testing is in disarray. Part of the reason is a confusion of the goals of testing---what makes a test (or testing method) "good." I argue that testing's primary goal should be to measure the dependability of tested software. In support of this goal, a plausible theory of dependability is needed to suggest and prove results about what test methods should be used, and under what circumstances. Although the outlines of dependability theory are not yet clear, it is possible to identify some of the fundamental questions and problems that must be attacked, and to suggest promising approaches and research methods. Perhaps the hardest step in this research is admitting that we do not already have the answers.