Test Paper Generating Method Based on Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Generating Test Patterns for Fpgas Using Multi-objective Genetic Algorithm
This paper presents a brief introduction to multi-objective genetic algorithms and FPGAs[4][8]. In this paper we have discussed that how test pattern generation method can be formulated in terms of CNF form [16]and this CNF form can be used to generate test patterns using genetic algorithm[20] We have proposed that by applying a multi-objective genetic algorithm on this CNF form we can increase...
متن کاملGenetic Symbiosis Algorithm Generating Test Data for Constraint Automata
Constraint automata are a semantic model for XML modeling language. Testing correctness of mapping black-box components in XML to constraint automata is an important problem in analyzing the semantic model of XML and requires a collection of test data that cover different scenarios. In this paper, Genetic Algorithm (GA) is employed to generate such set of test cases. This test data generation i...
متن کاملGenerating Test Case for Object-Oriented Software Using Genetic Algorithm and Mutation Testing Method
This paper presents an automatic creation of software test cases based on the use of a genetic algorithm and a mutation testing technique. The aim of this work is then the optimization of a score function in order to give the best set of optimal test case needed for testing an oriented-object program. Therefore, the proposed search-based approach generates in a first time a set of mutants accor...
متن کاملAutomatic Test Paper Generation Based on Ant Colony Algorithm
Traditional method of test paper generation is time-consuming, low efficient and low success. In order to improve the success rate of test paper, the paper puts forward an ant colony algorithm of automatic sets method. First, a mathematical model of constraint is built according to the requires of papers, and by using the ant colony algorithm, the optimal solution of grouping is obtained. Simul...
متن کاملQoS-Based web service composition based on genetic algorithm
Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available web services has proliferated, and then offered the same services increasingly. The same web ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: AASRI Procedia
سال: 2012
ISSN: 2212-6716
DOI: 10.1016/j.aasri.2012.06.086