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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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Journal ArticleDOI

Performance Evaluation of Data Race Detection Based on Thread Sharing Analysis With Different Granularities: An Empirical Study

TL;DR: The results show that data race detection based on the TSA with “field + array element” granularity outperforms those with object and field granularities.

A diagnostic approach to test priorization

TL;DR: A dynamic test prioritization algorithm is presented that trades fault detection rate for diagnostic performance, maximizing overall testing and diagnosis cost and sensitive to the quality of the test coverage matrices and component health.
Journal ArticleDOI

Neuro-fuzzy modeling for multi-objective test suite optimization

TL;DR: The experimental results showed that the ANFIS-based optimization system is very effective to optimize the regression test suite and provides better performance than the other approaches evaluated in this study.
Journal ArticleDOI

Mining Python fix patterns via analyzing fine-grained source code changes

TL;DR: This paper collected bug reports from GitHub repository and employed the abstract syntax tree edit distance to cluster similar bug-fixing code changes to generate fix patterns, and evaluated the effectiveness of these fix patterns by applying them to single-hunk bugs in two benchmarks.
Proceedings ArticleDOI

Substate Profiling for Effective Test Suite Reduction

TL;DR: Substate profiling as mentioned in this paper is a new form of state profiling that enhances existing profile-based analysis techniques such as TSR and coverage-based fault localization, which is more practical and finer grained.
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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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.
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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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