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Open AccessJournal ArticleDOI

Comparative study on test case generation: a survey

M Kulshreshtha, +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.

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Citations
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Efficient Guiding Towards Cost-Optimality in Uppaal

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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Book

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.
Book

The Art of Software Testing

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.
Journal ArticleDOI

A Computational Study of the Job-Shop Scheduling Problem

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.
Book ChapterDOI

Timing assumptions and verification of finite-state concurrent systems

TL;DR: A scheme that allows timing assumptions to be incorporated into automatic proofs of arbitrary finite-state temporal properties is described, and it is conjecture that the method presented can be extended in this way.
Journal ArticleDOI

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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