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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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Incorporating domain knowledge in latent topic models

TL;DR: Novel methods for enabling topic models to take advantage of side information, domain knowledge, and user guidance and feedback are developed to enhance topic model analyses across a variety of datasets, including non-text domains.
Proceedings ArticleDOI

Exploring program phases for statistical bug localization

TL;DR: The use of program phases for bug isolation is explored by presenting experimental results and concrete case studies on medium-size programs, showing an improved ranking of the program points that are critical to debugging over when program phases are not used.
Proceedings ArticleDOI

Improving evolutionary testing by means of efficiency enhancement techniques

TL;DR: This paper shows how TestFul can be further improved by leveraging three efficiency enhancement techniques: seeding, hybridization, and fitness inheritance, and shows that each enhancement technique results in a significant speed-up and the highest improvement is achieved when all the enhancements are combined together.
Journal ArticleDOI

A Systolic Genetic Search for reducing the execution cost of regression testing

TL;DR: SGS not only outperforms two competitive genetic algorithms, but also outperforms four heuristics specially conceived for this problem, and the results show that the GPU implementation of SGS has achieved a large runtime reduction with respect to the CPU implementation for solutions with similar quality.
Journal ArticleDOI

Research on Software Multiple Fault Localization Method Based on Machine Learning

TL;DR: This paper effectively solved the problem of large amount of program spectrum data and multi-coupling fault location, which is very helpful for improving the efficiency of software multiple fault debugging.
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.
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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.
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.
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Software Testing Techniques

Boris Beizer
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