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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

Prioritizing test cases with string distances

TL;DR: The obtained results indicate that prioritisation based on string distances is more efficient in finding defects than random ordering of the test suite: the test suites prioritized using string distances are moreefficient in detecting the strongest mutants, and, on average, have a better APFD than randomly ordered test suites.
Journal ArticleDOI

Fault localization prioritization: Comparing information-theoretic and coverage-based approaches

TL;DR: The results indicate that FLP and TCP can statistically significantly reduce fault localization costs for 73% and 76% of cases, respectively, and that FLINT significantly outperforms similarity-based localization techniques in 52% of the cases considered in the study.
Proceedings ArticleDOI

Statistical debugging using compound boolean predicates

TL;DR: This work draws upon three-valued logic, static program structure, and statistical estimation techniques to efficiently sift through large numbers of candidate Boolean predicate formulae and presents qualitative and quantitative evidence that complex predicates are practical, precise, and informative.
Proceedings ArticleDOI

iDFlakies: A Framework for Detecting and Partially Classifying Flaky Tests

TL;DR: A framework, iDFlakies, to detect and partially classify flaky tests, a dataset of flaky Tests in open-source projects, and a study of the prevalence of two types of flakies and how different test reorderings affect the number of detectedFlaky tests.
Journal ArticleDOI

Extended comprehensive study of association measures for fault localization

TL;DR: In this paper, the authors view fault localization as a measurement of the relationship strength between the execution of program elements and program failures, and investigate the effectiveness of 40 association measures from the literature on locating bugs.
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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