Software Testing using Intelligent Technique
Kevilienuo Kire,Neha Malhotra +1 more
TL;DR: An approach is proposed which draws inspiration from Swarm Intelligence to reduce test suite for regression testing, which will contribute a lot in considerably reducing the testing cost, efforts and time of regression testing.
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Abstract: paper proposed software testing system by using Artificial Intelligent techniques. In today's scenario, Software Testing is a critical issue in software development and maintenance for increasing the quality and reliability of the software. In Software Testing, regression testing is often performed and researchers are finding ways to reduce the regression testing cost. In this paper, an approach is proposed which draws inspiration from Swarm Intelligence to reduce test suite for regression testing. .This approach will strive to get the best optimal solution and contribute a lot in considerably reducing the testing cost, efforts and time of regression testing.
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Citations
Automated Testcase Generation and Prioritization Using GA and FRBS
Muhammad Azam,Atta-ur-Rahman,Kiran Sultan,Sujata Dash,Sundas Naqeeb Khan,Muhammad Aftab Alam Khan +5 more
- 14 Jul 2018
TL;DR: Genetic Algorithm is investigated for automatic test case generation and a fuzzy based system is proposed for test case prioritization and a intelligent toolkit for automated SQA is proposed and compared with the existing famous tools like Selenium.
8
Integration of properties of virtual reality, artificial neural networks, and artificial intelligence in the automation of software tests: A review
TL;DR: The complete automation of software tests has been considered to be an unattainable goal as discussed by the authors, but recent discoveries and innovations have shown that it is possible to achieve this goal with recent developments and innovations.
6
A Survey on Test case selection Using Optimization Techniques in Software Testing
Preeti Bala Thakur
- 01 Jan 2015
TL;DR: This Project Objective is proposing a new approach for software testing process, optimizing testing effort, testing complexity, quality & reliability issues, using optimization techniques.
5
Use Neural Network to Improve Fault Injection Testing
Yichen Wang,Yikun Wang +1 more
- 01 Jul 2017
TL;DR: In this method, the value of fitness function is used as the criteria in simulated annealing algorithm to generate test data and it is shown that this method can improve the efficiency of generating test data obviously.
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•Journal Article
Optimal Test Data Generation Using Hybrid Techniques IWD & ACO
Neema Patel,Neelabh Sao +1 more
TL;DR: An approach for automated software test data generation is proposed which will evaluating the different format of data on testing performance and estimating the computational factors like reliable of software, software quality, time and space requirements etc using integrated algorithm IWD & ACO.
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Metrics and Models in Software Quality Engineering
Stephen H. Kan,Brian Thomas +1 more
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TL;DR: Stephen H. Kan is responsible for IBM Rochester's software quality strategy and plans, quality assessment, software measurements, and statistical analysis.
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Coverage-Based Test Case Prioritisation: An Industrial Case Study
Daniel Di Nardo,Nadia Alshahwan,Lionel C. Briand,Yvan Labiche +3 more
- 18 Mar 2013
TL;DR: In this paper, the authors present an industrial case study of coverage-based prioritization techniques on a real world system with real regression faults and evaluate four common and different test case prioritisation techniques and examine the effects of using various coverage criteria on the fault detection rates of the prioritised test suites.
72
Implementing Ant Colony Optimization for Test Case Selection and Prioritization
Bharti Suri,Shweta Singhal +1 more
- 01 Jan 2011
TL;DR: An implementation of an already introduced Ant Colony Optimization Algorithm for Test Case Selection and Prioritization is presented, showing how the random nature of ACO helps to explore the possible paths and choose the optimal from them.
Automatic Test Data Generation for Software Path Testing Using Evolutionary Algorithms
Gentiana Ioana Latiu,Octavian Cret,Lucia Vacariu +2 more
- 19 Sep 2012
TL;DR: A comparison between three important Evolutionary Algorithms used for automatic test data generation, a technique that forces the execution of a desired path of the program called target path, suggests that evolutionary testing strategies are very well suited to generate test data which cover a target path inside a software program.
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