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Journal ArticleDOI

An orchestrated survey of methodologies for automated software test case generation

TLDR
An orchestrated survey of the most prominent techniques for automatic generation of software test cases, reviewed in self-standing sections, aimed at giving an introductory, up-to-date and (relatively) short overview of research in automatic test case generation.
About
This article is published in Journal of Systems and Software.The article was published on 2013-08-01. It has received 599 citations till now. The article focuses on the topics: Software reliability testing & Test strategy.

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Citations
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Proceedings ArticleDOI

DeepTest: automated testing of deep-neural-network-driven autonomous cars

TL;DR: DeepTest is a systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles that can potentially lead to fatal crashes and systematically explore different parts of the DNN logic by generating test inputs that maximize the numbers of activated neurons.
Journal ArticleDOI

A Survey on Metamorphic Testing

TL;DR: This article provides a comprehensive survey on metamorphic testing, which summarises the research results and application areas, and analyses common practice in empirical studies of metamorphIC testing as well as the main open challenges.
Book ChapterDOI

Mutation Testing Advances: An Analysis and Survey

TL;DR: This chapter presents a survey of recent advances, over the past decade, related to the fundamental problems of mutation testing and sets out the challenges and open problems for the future development of the method.
BookDOI

Deductive Software Verification - The KeY Book

TL;DR: This book is the definitive guide to KeY that lets you explore the full potential of deductive software verification in practice and contains the complete theory behind KeY for active researchers who want to understand it in depth or use it in their own work.
Proceedings ArticleDOI

Software testing: a research travelogue (2000–2014)

TL;DR: The goal of this paper is to provide an accounting of some of the most successful research performed in software testing since the year 2000, and to present what appear to be the most significant challenges and opportunities in this area.
References
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Proceedings Article

04371 Summary -- Perspectives of Model-Based Testing

TL;DR: The aim of the seminar Perspectives of Model-Based Testing was to bring together researchers and practitioners from industry and academia to discuss the state of the art in theory, methods, tools, applications, and industrialization of model-based testing.
Proceedings Article

10421 Summary -- Model-Based Testing in Practice

TL;DR: The successful deployment of model-based testing in industrial settings can be seen in the telecommunication domain, chip cards, specific Windows components, and embedded systems in general.

10421 Summary - Model-Based Testing in Practice.

TL;DR: Model-based testing is a light-weight formal method which enables the automatic derivation of tests from software models and their environment as mentioned in this paper, which is one of the most cost-intensive tasks in the modern software production process.