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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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Proceedings ArticleDOI

Applying aggressive propagation-based strategies for testing changes

TL;DR: This paper presents a new and more efficient approach for propagation-based testing of changes that can reach much longer propagation-distances and can focus the testing more precisely on those behaviors of change that can actually affect the output.
Journal ArticleDOI

An evaluation of pure spectrum‐based fault localization techniques for large‐scale software systems

TL;DR: The need to go beyond pure SBFL and take other information, such as information from the bug report or from version history of the code lines, into consideration is clearly seen, although the results improve compared with the results for the AspectJ benchmark.
Proceedings ArticleDOI

A Methodological Framework for Evaluating Software Testing Techniques and Tools

TL;DR: This paper defines a general methodological evaluation framework that can simplify the design of case studies for comparing software testing tools, and make the results more precise, reliable, and easy to compare.
Proceedings ArticleDOI

Study of the relationship of bug consistency with respect to performance of spectra metrics

TL;DR: This paper discusses how the effectiveness of various metrics degrade in determining buggy statements as the bug consistency (error detection accuracy, qe) of a statement approaches zero, and proposes Effect(M) as to measure the effective of these metrics as qe value varies.
Journal ArticleDOI

Better Debugging via Output Tracing and Callstack-Sensitive Slicing

TL;DR: Callstack-sensitive slicing is presented, which reduces slice sizes by leveraging the series of calls active when a program fails, and how slice intersections may further reduce slice sizes is shown.
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.
Book Chapter

Case study research

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.
Book

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.
Book

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.
Book

Software Testing Techniques

Boris Beizer
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