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.read more
Citations
More filters
Journal ArticleDOI
Efficient integration of online model checking into a small-footprint real-time operating system
TL;DR: How an efficient online model checker and a small-footprint RTOS can be integrated is discussed and some analytical as well as experimental evaluations are presented.
Proceedings ArticleDOI
Effective online software anomaly detection
TL;DR: This work presents a methodology that applies effective algorithms to select a close to optimal set of anomaly-revealing properties, which enables online anomaly detection with minimal execution overhead.
Proceedings ArticleDOI
Mutation Selection: Some Could be Better than All.
TL;DR: In this article, the authors conducted an experiment to answer the question whether the set of all mutants is the best to evaluate test cases, and the experiment results showed that a subset of mutants may be more similar to faults than all the mutants.
Journal ArticleDOI
Tri-level regression testing using nature-inspired algorithms
Anu Bajaj,Om Prakash Sangwan +1 more
TL;DR: Wang et al. as discussed by the authors presented the regression testing using well-known algorithms, genetic algorithm, particle swarm optimization, a relatively new nature-inspired approach, gravitational search algorithm, and its hybrid with particle swarm optimizer algorithm.
Proceedings Article
[Journal First] A Correlation Study Between Automated Program Repair and Test-Suite Metrics
TL;DR: The largest-scale experiments to date with real-world software are conducted, and the first correlation study between test-suite metrics and the reliability of generated repairs is performed, suggesting that traditional test-Suite metrics used in software testing can also be used to improveThe reliability of repairs in program repair.
References
More filters
Book
Case Study Research: Design and Methods
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
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.
Related Papers (5)
Empirical evaluation of the tarantula automatic fault-localization technique
James A. Jones,Mary Jean Harrold +1 more