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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

Multi-label software behavior learning

TL;DR: A well-known multi-label learning algorithm ML-KNN is introduced to achieve comprehensive learning of software behavior and the experimental results show that multi- label learning can produce more precise and complete results than single- Label learning.
Journal ArticleDOI

Enhancing Efficiency of the Test Case Prioritization Technique by Improving the Rate of Fault Detection

TL;DR: The proposed approach for prioritizing regression test cases in an order that maximize fault coverage with least test suite execution and compared its effectiveness with other orderings shows higher average percentage of fault detected value and outperforms all other approaches.
Proceedings ArticleDOI

Precise concolic unit testing of C programs using extended units and symbolic alarm filtering

TL;DR: A concolic unit testing technique that constructs an extended unit of f that consists of f and closely relevant functions to f and filters out a false alarm by checking feasibility of a corresponding symbolic execution path with regard to f's symbolic calling contexts obtained by combining symbolic execution paths of f 's closely related predecessor functions.
Book ChapterDOI

Measuring the Odds of Statements Being Faulty

TL;DR: The statistics captured during testing a faulty program are the primary source of information for effective fault localization and could be extended to hypothesis testing and in particular to the chi-square test associated with crosstab.
Proceedings ArticleDOI

Formal concept analysis applied to fault localization

Peggy Cellier
TL;DR: The research hypothesis is that using association rules with more expressive premises, some limitations can be alleviated in fault localization and the technique is conjecture that the technique can be used to analyze large executions, thanks to the information contained in the Abstract Syntax Tree.
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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