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Review Papers | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014 | Popularity: 6.7 / 10
Survey Paper on Optimum Selection of Ga Algorithm's Parameters for Software Test Data Generation
Sonam Kamboj, Mohinder Singh
Abstract: This paper empirically evaluates four metaheuristic search techniques namely Genetic Algorithm; artificial bee colony and Bing Bang Big Crunch Algorithm for automatic test data generation for procedure oriented programs using structural symbolic testing method. Test data is generated for each feasible path of the programs. All the four algorithms have been evaluated on average percentage coverage per path.
Keywords: Automatic test data generation, Artificial Bee Colony ABC Algorithm, Symbolic testing, Soft computing, Search Algorithm
Edition: Volume 3 Issue 6, June 2014
Pages: 46 - 49
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Computer Science & Engineering, India, Volume 9 Issue 7, July 2020
Pages: 1454 - 1458Heart Disease Prediction with Machine Learning Approaches
Megha Kamboj
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Computer Science & Engineering, India, Volume 7 Issue 11, November 2018
Pages: 1951 - 1955Hadoop Performance Improvement using Metadata and Securing with Oauth Token
Swapnali A. Salunkhe, Amol B. Rajmane
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Computer Science & Engineering, India, Volume 9 Issue 12, December 2020
Pages: 1 - 3Comparative Study of Conventional Desktop Computer and Compute Stick
Aadarsh Sooraj, Sooraj G.
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Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 629 - 632Review Paper on Secure Hashing Algorithm and Its Variants
Priyanka Vadhera, Bhumika Lall
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Computer Science & Engineering, India, Volume 3 Issue 6, June 2014
Pages: 2148 - 2152The Impact and Application of 3D Printing Technology
Thabiso Peter Mpofu, Cephas Mawere, Macdonald Mukosera