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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

A comparative study of Bat and Cuckoo search algorithm for regression test case selection

TL;DR: This paper evaluates the performance of two metaheuristic algorithms-Bat Algorithm and Cuckoo Search Algorithm for selecting test cases and results indicate that the Cuckoff Search Algorithms perform a little better than Bat Algorithm.

Model-Driven Test Case Construction by Domain Experts

TL;DR: Model-driven Test Case Construction (MTCC) as mentioned in this paper employs feature models and protocol state machines to represent systems under test (SUT) as well as the actions and assertions used to execute a SUT.
Posted Content

TOFU: Target-Orienter FUzzer.

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Proceedings ArticleDOI

Adding context to fault localization with integration coverage

TL;DR: By ranking most suspicious pairs of method invocations, roadmaps-sorted lists of methods to be investigated-are created and the effectiveness of the fault localization process is improved: 78% of all the faults are reached within a fixed amount of basic blocks; 40% more than an approach based on the Tarantula technique.
Journal ArticleDOI

Observation-based approximate dependency modeling and its use for program slicing

TL;DR: A novel dependency analysis technique that aims to approximate program dependency from a relatively small number of perturbed executions, MOAD (Modeling Observation-based Approximate Dependency), reformulates program dependency as the likelihood that one program element is dependent on another (instead of a Boolean relationship).
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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