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Open AccessJournal ArticleDOI

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.

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Test Advising Framework

Yurong Wang
TL;DR: A new Test Case Language (TCL) is defined that can be used to represent test cases that vary in structure and are generated by multiple test generation frameworks and a methodology for transforming test cases of varying representations into a common format where they can be matched and analyzed.
Journal ArticleDOI

Dissimilarity‐based test case prioritization through data fusion

TL;DR: Data fusion‐driven DTCP (DDTCP) is proposed, which attempts to use different information granularities for prioritizing test cases by dissimilarity, and shows that not only does DDTCP have better fault‐detection rates than single‐granularity DMC techniques, but it also appears to only incur similar prioritization costs.
Journal ArticleDOI

An Enhanced Adaptive Random Testing by Dividing Dimensions Independently

TL;DR: The boundary effect of the test case distribution is analyzed, and the FSCS algorithm of a limited candidate set (LCS-FSCS) is proposed, which improves the effectiveness of RT by distributing test cases as evenly as possible and constraining the candidate test case generation domain.
Proceedings ArticleDOI

BOLD: an ontology-based log debugger for C programs

TL;DR: BOLD as discussed by the authors is an Ontology-based Log Debugger, which unifies various activities involved in the debugging of sequential C programs and represents the execution trace of the program also as RDF triples called trace triples.
Proceedings ArticleDOI

A Diagnostic Point of View for the Optimization of Preparation Costs in Runtime Testing

TL;DR: The direct relationship between testability and diagnosis quality is shown, that these two properties do not guarantee an efficient diagnosis, and a measurement is shown that ensures better prediction of efficiency.
References
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Book

Case Study Research: Design and Methods

Robert K. Yin
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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Jean Hartley
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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Software Testing Techniques

Boris Beizer
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