Test-Case Generation for Data Flow Testing of Smart Contracts Based on Improved Genetic Algorithm
Author:
Affiliation:
1. Key Laboratory of Water Big Data Technology of Ministry of Water Resources, College of Computer and Information, Hohai University, Nanjing, China
2. School of Computing Technologies, RMIT University, Melbourne, VIC, Australia
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/24/10057590/09778269.pdf?arnumber=9778269
Reference43 articles.
1. Automated software test data generation using a genetic algorithm;pei,1994
2. A hybrid PSO approach to automate test data generation for data flow coverage with dominance concepts;singla;Int J Adv Sci Technol,2011
3. Search-based software test data generation: a survey
4. Artificial bee colony algorithm in data flow testing for optimal test suite generation
5. Automatic Test Data Generation for Data Flow Testing Using Particle Swarm Optimization
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