Comparative study on test case generation: a survey
M Kulshreshtha,C Agarwal,J. Kamalakannan +2 more
- Vol. 263, Iss: 4, pp 042035
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TLDR
Various techniques which are used to improve automated test case generation are discussed and comparing it with other existing techniques and new work which can be done in future are proposed.Abstract:
Testing gives means pertaining to assuring software performance. As it has been proved that the software testing phase is one of the most critical and important phases in the software development lifecycle as it lead to increase in cost, time and effort. The total aim of software industry is actually to make a certain start associated with high quality software for the end user. Software testing has quite a few underlying concerns, which are very important and need to pay attention on these issues which are effectively generating, prioritization of test cases, etc. To over come from these issues we need to pay attention and focus. In this paper we are discussing various techniques which are used to improve automated test case generation and comparing it with other existing techniques. In this we are also proposing new work which can be done in future.read more
Citations
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Efficient Guiding Towards Cost-Optimality in Uppaal
Gerd Behrmann,Ansgar Fehnker,Thomas S. Hune,Kim Guldstrand Larsen,Paul Pettersson,Judi Romijn +5 more
TL;DR: In this article, the authors present an algorithm for efficiently computing the minimum cost of reaching a goal state in the model of Uniformly Priced Timed Automata (UPTA), which can be seen as a submodel of the recently suggested model of linearly priced timed automata.
Journal ArticleDOI
Software Test Case Generation Tools and Techniques: A Review
TL;DR: In this paper , the authors attempted to conduct a systematic study of testing tools and techniques and conducted a study on 738 manuscripts out of which 125 were selected to conduct the study and out of 125 manuscripts selected, a good number approx. 79% are from reputed journals and around 21% were from good conference of repute.
Proceedings Article
Automatic Test Case Generation Framework for Changed Code using Modified AEO Algorithm in Regression Testing
TL;DR: In this paper , the authors proposed a framework for automatic test case generation using the latest nature-inspired metaheuristic algorithm named Modified Artificial Ecosystem Optimization Algorithm as well as step by step the working of it.
References
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Art of Software Testing
TL;DR: Comprehensively covers psychological and economic principles, managerial aspects of testing, test tools, high-order testing, code inspections, and debugging, and programming students will find this reference work indispensible.
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TL;DR: The Art of Software Testing, Third Edition as discussed by the authors provides a brief but powerful and comprehensive presentation of time-proven software testing approaches, and is an investment that will pay for itself with the first bug you find.
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A Computational Study of the Job-Shop Scheduling Problem
David Applegate,William J. Cook +1 more
TL;DR: The optimization procedure, combining the heuristic method and the combinatorial branch and bound algorithm, solved the well-known 10×10 problem of J. F. Thomson in under 7 minutes of computation time on a Sun Sparcstation 1.
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Timing assumptions and verification of finite-state concurrent systems
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Test‐data generation using genetic algorithms
TL;DR: This paper presents a technique that uses a genetic algorithm for automatic test‐data generation, a heuristic that mimics the evolution of natural species in searching for the optimal solution to a problem.
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