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Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact

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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.

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Non-parametric statistical fault localization

TL;DR: The experimental results show that the use of non-parametric hypothesis testing methods in the proposed predicate-based fault-localization model is the most promising.
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Cause reduction: delta debugging, even without bugs

TL;DR: Suites produced by cause reduction provide effective quick tests for real‐world programs, including improving seeded symbolic execution, where using reduced tests can often double the number of additional branches explored.
Proceedings ArticleDOI

Change-aware preemption prioritization

TL;DR: A novel technique, called Change-Aware Preemption Prioritization (CAPP), that uses information about the changes in software evolution to prioritize the exploration of schedules in a multithreaded regression test, showing that CAPP can substantially reduce the exploration required to detect multith readed regression faults.
Journal ArticleDOI

Scope-aided test prioritization, selection and minimization for software reuse

TL;DR: This work proposes here specific approaches to white-box test prioritization, selection and minimization that take into account the reuse context when reordering or selecting test cases, by leveraging possible constraints delimiting the new input domain scope.
Journal ArticleDOI

An Empirical Comparison of Combinatorial Testing, Random Testing and Adaptive Random Testing

TL;DR: The results show significant differences in the techniques’ fault detection ability when faults are hard to detect (failure rates are relatively low), and when constraint information is unavailable for a highly-constrained program, a large random test suite is as effective as CT or ART, yet its computational cost is significantly lower than that of other techniques.
References
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Book

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Robert K. Yin
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TL;DR: The comprehensive and accessible nature of this collection will make it an essential and lasting handbook for researchers and students studying organizations.
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