Applying design of experiments to software testing: experience report
ICSE '97 Proceedings of the 19th international conference on Software engineering
The AETG System: An Approach to Testing Based on Combinatorial Design
IEEE Transactions on Software Engineering
Refactoring: improving the design of existing code
Refactoring: improving the design of existing code
Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
Dynamically Discovering Likely Program Invariants to Support Program Evolution
IEEE Transactions on Software Engineering - Special issue on 1999 international conference on software engineering
A framework for reducing the cost of instrumented code
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
Software Metrics: A Rigorous and Practical Approach
Software Metrics: A Rigorous and Practical Approach
Isolating cause-effect chains from computer programs
Proceedings of the 10th ACM SIGSOFT symposium on Foundations of software engineering
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Scalable statistical bug isolation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
Profiling Deployed Software: Assessing Strategies and Testing Opportunities
IEEE Transactions on Software Engineering
Experimental program analysis: a new program analysis paradigm
Proceedings of the 2006 international symposium on Software testing and analysis
Information and Software Technology
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Program analysis techniques are used by software engineers to deduce and infer targeted characteristics of software systems for tasks such as testing, debugging, maintenance, and program comprehension. Recently, some program analysis techniques have been designed to leverage characteristics of traditional experimentation in order to analyze software systems. We believe that the use of experimentation for program analysis constitutes a new program analysis paradigm: experimental program analysis. This research seeks to accomplish four goals: to precisely define experimental program analysis, to provide a means for classifying experimental program analysis techniques, to identify existing experimental program analysis techniques in the research literature, and to enhance the use of experimental program analysis by improving existing, and by creating new, experimental program analysis techniques.