Selecting Software Test Data Using Data Flow Information
IEEE Transactions on Software Engineering
Axiomatizing software test data adequacy
IEEE Transactions on Software Engineering
Information Processing Letters
Partition Testing Does Not Inspire Confidence (Program Testing)
IEEE Transactions on Software Engineering
Analyzing Partition Testing Strategies
IEEE Transactions on Software Engineering
Estimating the Probability of Failure When Testing Reveals No Failures
IEEE Transactions on Software Engineering
On the Use of Testability Measures for Dependability Assessment
IEEE Transactions on Software Engineering
Total Variance Approach to Software Reliability Estimation
IEEE Transactions on Software Engineering - Special issue: best papers of the sixth international workshop on Petri nets and performance models (PNPM'95)
Art of Software Testing
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Operational Profiles in Software-Reliability Engineering
IEEE Software
A Formal Analysis of the Fault-Detecting Ability of Testing Methods
IEEE Transactions on Software Engineering
The Effect of Imperfect Error Detection on Reliability Assessment via Life Testing
IEEE Transactions on Software Engineering
A Formal Analysis of the Subsume Relation Between Software Test Adequacy Criteria
IEEE Transactions on Software Engineering
A partition analysis method to increase program reliability
ICSE '81 Proceedings of the 5th international conference on Software engineering
A Reliability Model Combining Representative and Directed Testing
A Reliability Model Combining Representative and Directed Testing
Mutation analysis of program test data
Mutation analysis of program test data
On mutation
Exploring quality attributes using architectural prototyping
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
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Many statistical methods for estimating software quality rely on representative testing: they assume a program is tested in an environment that simulates the environment where it will be used. Often, however, a software tester’s aim is to uncover defects as soon as possible, and representative testing may not be the best way to do this. Instead, tests are often selected according to some plan that is believed to result in an efficient but thorough examination of the software’s behavior. This raises the question of how practical measurements of software quality, like software probability‐of‐failure, can be obtained from directed testing. In this paper, we discuss some factors affecting the ability of directed tests to predict software quality when quality is measured in the environment where the software operates, but the directed tests do not simulate that environment. We consider a number of ways to measure the power of a directed test method, and show how these affect the tester’s ability to predict software quality.