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.read more
Citations
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A systematic review on regression test selection techniques
TL;DR: A systematic review of empirical evaluations of regression test selection techniques found a need for empirical studies where concepts are evaluated rather than small variations in technical implementations.
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The ManyBugs and IntroClass Benchmarks for Automated Repair of C Programs
Claire Le Goues,Neal J. Holtschulte,Edward K. Smith,Yuriy Brun,Premkumar Devanbu,Stephanie Forrest,Westley Weimer +6 more
TL;DR: The need for a new set of benchmarks is outlined, requirements are outlined, and two datasets, ManyBugs and IntroClass, consisting between them of 1,183 defects in 15 C programs are presented, designed to support the comparative evaluation of automatic repair algorithms asking a variety of experimental questions.
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Higher Order Mutation Testing
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TL;DR: The paper introduces the concept of a subsuming HOM; one that is harder to kill than the first order mutants from which it is constructed, by definition, subsumed HOMs denote subtle fault combinations.
Proceedings ArticleDOI
DirectFix: looking for simple program repairs
TL;DR: This paper presents a novel semantics-based repair method that generates the simplest patch such that the program structure of the buggy program is maximally preserved and fuses fault localization and repair generation into one step.
Proceedings ArticleDOI
Adaptive Random Test Case Prioritization
TL;DR: This paper proposes a new family of Coverage-based ART techniques and shows empirically that they are statistically superior to the RT-based technique in detecting faults and one of the ART prioritization techniques is consistently comparable to some of the best coverage-based prioritizing techniques and yet involves much less time cost.
References
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Book
Case Study Research: Design and Methods
TL;DR: In this article, buku ini mencakup lebih dari 50 studi kasus, memberikan perhatian untuk analisis kuantitatif, membahas lebah lengkap penggunaan desain metode campuran penelitian, and termasuk wawasan metodologi baru.
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Case study research
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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Research methods knowledge base
TL;DR: The Research Methods Knowledge Base is a comprehensive web-based textbook that addresses all of the topics in a typical introductory undergraduate or graduate course in social research methods and uses an informal, conversational style to engage both the newcomer and the more experienced student of research.
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Experimentation in Software Engineering: An Introduction
TL;DR: The purpose of Experimentation in Software Engineering: An Introduction is to introduce students, teachers, researchers, and practitioners to experimentation and experimental evaluation with a focus on software engineering, and to provide guidelines for performing experiments evaluating methods, techniques and tools in software engineering.
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