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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Journal ArticleDOI
Search-based software engineering
Mark Harman,Bryan F. Jones +1 more
TL;DR: It is argued that software engineering is ideal for the application of metaheuristic search techniques, such as genetic algorithms, simulated annealing and tabu search, which could provide solutions to the difficult problems of balancing competing competing constraints.
Book ChapterDOI
A decision procedure for bit-vectors and arrays
Vijay Ganesh,David L. Dill +1 more
TL;DR: Experimental results indicate that the above mix of algorithms along with the overall architecture is far more effective, for a variety of applications, than a direct translation of the original formula to SAT or other comparable decision procedures.
Journal Article
A fast linear-arithmetic solver for DPLL(T)
Bruno Dutertre,Leonardo de Moura +1 more
TL;DR: In this paper, a Simplex-based linear arithmetic solver that can be integrated efficiently in the DPLL(T) framework is presented. But this solver does not support a priori simplification to reduce the problem size, and provides an efficient form of theory propagation.
Journal ArticleDOI
Protein-to-protein interactions: Technologies, databases, and algorithms
TL;DR: The article reviews PPI data representation and storage, as well as PPI databases, and describes the main PPI models, mostly based on graphs, which are discussed in depth.
Book ChapterDOI
A fast linear-arithmetic solver for DPLL(T)
Bruno Dutertre,Leonardo de Moura +1 more
TL;DR: A new Simplex-based linear arithmetic solver that can be integrated efficiently in the DPLL(T) framework by enabling fast backtracking, supporting a priori simplification to reduce the problem size, and providing an efficient form of theory propagation.