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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 ArticleDOI

Reducing qualitative human oracle costs associated with automatically generated test data

TL;DR: This short paper proposes methods to extracting knowledge from programmers, source code and documentation and its incorporation into the automatic test data generation process so as to inject the realism required to produce test cases that are quick and easy for a human to comprehend and check.
Journal Article

Testing concurrent object-oriented systems with spec explorer

TL;DR: Spec Explorer as mentioned in this paper is a model-based testing tool developed at Microsoft Research that enables modeling and automatic testing of concurrent object-oriented systems, where inputs and outputs can be arbitrary data types, including objects.
Proceedings ArticleDOI

Search-based mutation testing for Simulink models

TL;DR: This paper describes how search-based automatic test-data generation methods can be used to find mutation adequate test-sets for Matlab/Simulink models.
Journal ArticleDOI

An empirical investigation into branch coverage for C programs using CUTE and AUSTIN

TL;DR: The results of an empirical study using the dynamic symbolic-execution tool, CUTE, and a search based tool, AUSTIN on five non-trivial open source applications reveal opportunities for improvement and suggests ways to hybridize these two approaches that have hitherto been developed entirely independently.
Journal ArticleDOI

On theorem prover-based testing

TL;DR: HOL-TestGen allows for an integrated workflow supporting interactive theorem proving, test case generation, and test data generation and can be used for black-box unit, sequence, reactive sequence and white-box test scenarios.