Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact
TLDR
The infrastructure that is being designed and constructed to support controlled experimentation with testing and regression testing techniques is described and the impact that this infrastructure has had and can be expected to have.Abstract:
Where the creation, understanding, and assessment of software testing and regression testing techniques are concerned, controlled experimentation is an indispensable research methodology. Obtaining the infrastructure necessary to support such experimentation, however, is difficult and expensive. As a result, progress in experimentation with testing techniques has been slow, and empirical data on the costs and effectiveness of techniques remains relatively scarce. To help address this problem, we have been designing and constructing infrastructure to support controlled experimentation with testing and regression testing techniques. This paper reports on the challenges faced by researchers experimenting with testing techniques, including those that inform the design of our infrastructure. The paper then describes the infrastructure that we are creating in response to these challenges, and that we are now making available to other researchers, and discusses the impact that this infrastructure has had and can be expected to have.read more
Citations
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Journal ArticleDOI
Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization
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Proceedings ArticleDOI
Wielding Statistical Fault Localization Statistically
TL;DR: This work uses maximum likelihood estimate and linear programming to develop a tuning method to enhance the result of a statistical fault localization technique, and raises the assumption of symmetric distribution on the effectiveness of such a technique in locating faults.
Dissertation
A Dynamic Approach to Statistical Debugging: Building Program Specific Models with Neural Networks
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Test case prioritization using partial attention
TL;DR: Wang et al. as discussed by the authors propose a generic partial attention mechanism, which adopts the previous priority values (i.e., the number of additionally-covered code units) to avoid considering all candidate test cases.
References
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