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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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Journal ArticleDOI

Generating software test data by evolution

TL;DR: The implementation of the GA-based system is described and the effectiveness of this approach on a number of programs, one of which is significantly larger than those for which results have previously been reported in the literature, are examined.
Journal ArticleDOI

Compositional dynamic test generation

TL;DR: This paper introduces a new algorithm, dubbed SMART for Systematic Modular Automated Random Testing, that extends DART by testing functions in isolation, encoding test results as function summaries expressed using input preconditions and output postconditions, and then re-using those summaries when testing higher-level functions.
Book ChapterDOI

Automating the Generation and Sequencing of Test Cases from Model-Based Specifications

Jeremy Dick, +1 more
TL;DR: In this paper, the authors present automatic techniques for partition analysis in state-based specifications, specifically VDM, which can be used to generate test cases, for sequencing the tests, or as an oracle in verifying the tests.
Journal ArticleDOI

A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation

TL;DR: The intent is to aid future researchers doing empirical studies in SBST by providing an unbiased view of the body of empirical evidence and by guiding them in performing well-designed and executed empirical studies.
Book

The Art of Prolog: Advanced Programming Techniques

TL;DR: The Prolog language as discussed by the authors is a language for pure Prolog programming with meta-logical predicates cuts and negation, and it can be used to develop game-playing programs as well as a credit evaluation expert system.