The complete guide to software testing
The complete guide to software testing
The growth of software testing
Communications of the ACM
Managing the software process
Toward full life cycle control: adding maintenance measurement to the SEL
Journal of Systems and Software
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Measurement and continuous improvement of software reliability throughout software life-cycle
Journal of Systems and Software - Special issue on invited articles on top systems and software engineering scholars
Testing object-oriented systems: models, patterns, and tools
Testing object-oriented systems: models, patterns, and tools
Managing The Testing Process
Reducing wasted development time via continuous testing
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
An experimental evaluation of continuous testing during development
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement
Software Quality Engineering: Testing, Quality Assurance, and Quantifiable Improvement
A Characterisation Schema for Software Testing Techniques
Empirical Software Engineering
Continuous Integration: Improving Software Quality and Reducing Risk (The Addison-Wesley Signature Series)
Super-Recursive Algorithms
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We study software testing as a distributed component of the software life cycle, developing a technique for estimating testing validity. The goal of this paper is to build measures for testing result estimation, to find how tested properties influence software quality, and to develop means (methodology and algorithms) to achieve better results in testing. To achieve these goals, we suggest using system approach to testing developed in this paper and introduce a system of test efficiency measures, as well as discuss a methodology of how to use these measures. Properties of test efficiency measures oriented at the software engineering domain are studied. We also show (Proposition 1, Theorem 1 and their Corollaries) how logic can increase testing efficiency.