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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

Symbolic Robustness Analysis

TL;DR: An algorithm and a tool are presented to characterize the robustness of a control software implementation, based on symbolic execution and non-linear optimization, and computes the maximum difference in program outputs over all program paths when a program input is perturbed.
Proceedings ArticleDOI

Darwin: an approach for debugging evolving programs

TL;DR: An automated approach for debugging evolving programs that handles hard-to-explain bugs like code missing errors by pointing to the relevant code in the reference program by using concrete as well as symbolic execution to synthesize new inputs that differ marginally from the failing input in their control flow behavior.
Proceedings ArticleDOI

Exploiting program dependencies for scalable multiple-path symbolic execution

TL;DR: A new technique, called Symbolic Program Decomposition (or SPD), for symbolic execution of multiple paths that is more scalable than existing techniques, which symbolically execute control-flow paths individually.
Journal ArticleDOI

Symbolic execution with abstraction

TL;DR: A method for examining whether a symbolic state that arises during symbolic execution is subsumed by another symbolic state and how this affects analysis of an under-approximation of the program behaviors is described.
Proceedings ArticleDOI

Variably interprocedural program analysis for runtime error detection

TL;DR: An analysis approach based on a of static and dynamic techniques to run-time errors in Java code that uses symbolic execution to constraints under which an error may occur and then solves these constraints to test inputs that may expose the error.