Journal ArticleDOI
An orchestrated survey of methodologies for automated software test case generation
Saswat Anand,Edmund K. Burke,Tsong Yueh Chen,John A. Clark,Myra B. Cohen,Wolfgang Grieskamp,Mark Harman,Mary Jean Harrold,Phil McMinn +8 more
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.read more
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
Wolfgang Ahrendt,Bernhard Beckert,Richard Bubel,Reiner Hähnle,Peter H. Schmitt,Mattias Ulbrich +5 more
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)
Alessandro Orso,Gregg Rothermel +1 more
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
S2E: a platform for in-vivo multi-path analysis of software systems
TL;DR: S2E's use in developing practical tools for comprehensive performance profiling, reverse engineering of proprietary software, and bug finding for both kernel-mode and user-mode binaries is demonstrated.
Journal ArticleDOI
A survey of combinatorial testing
Changhai Nie,Hareton Leung +1 more
TL;DR: Previous work on CT is reviewed, the evolution of CT is highlighted, important issues, methods, and applications of CT are identified, and the growing trend of CT research is presented.
Book ChapterDOI
Generalized symbolic execution for model checking and testing
TL;DR: In this paper, a source-to-source translation is defined to instrument a program, which enables standard model checkers to perform symbolic execution of the program and gives a novel symbolic execution algorithm that handles dynamically allocated structures (e.g., lists and trees), method preconditions (i.e., acyclicity), data (e, integers and strings) and concurrency.
Test Generation with Inputs, Outputs and Repetitive Quiescence
TL;DR: In this article, a test generation algorithm is given which is proved to produce a sound and exhaustive test suite from a specification, i.e., a test suite that fully characterizes the set of correct implementations.
Proceedings ArticleDOI
Grammar-based whitebox fuzzing
TL;DR: Results of the experiments show that grammar-based whitebox fuzzing explores deeper program paths and avoids dead-ends due to non-parsable inputs and increased coverage of the code generation module of the IE7 JavaScript interpreter from 53% to 81% while using three times fewer tests.