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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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Proceedings ArticleDOI

Covrig: a framework for the analysis of code, test, and coverage evolution in real software

TL;DR: Covrig is presented, a flexible infrastructure that can be used to run each version of a system in isolation and collect static and dynamic software metrics, using a lightweight virtual machine environment that could be deployed on a cluster of local or cloud machines.
Proceedings ArticleDOI

Euclide: A Constraint-Based Testing Framework for Critical C Programs

TL;DR: The main capabilities of the Euclide tool are presented and an experience when verifying safety properties for a well-known critical C component of the TCAS (Traffic Collision Avoidance System) is related.
Proceedings ArticleDOI

Directed test suite augmentation

TL;DR: This research intends to provide a framework for test suite augmentation techniques that will reuse existing test cases to automatically generate newtest cases to cover as many affected elements as possible cost-effectively.
Journal ArticleDOI

Fault density, fault types, and spectra-based fault localization

TL;DR: This paper presents multiple empirical experiments that investigate the impact of fault quantity and fault type on statistical, coverage-based fault localization techniques and fault-localization interference and suggests that fault- localization interference is prevalent and exerts a meaningful influence that may cause a fault’s localizability to vary greatly.
Book ChapterDOI

Highly scalable multi objective test suite minimisation using graphics cards

TL;DR: In this paper, a search based optimisation approach for multi-objective regression test optimisation was developed for SBSE scalability, evaluating it on benchmark problems as well as larger real world problems.
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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