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[PDF] Top 20 Test Case Generation from Activity Diagram Using Multiobjective Evolutionary Algorithm

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Test Case Generation from Activity Diagram Using Multiobjective Evolutionary Algorithm

Test Case Generation from Activity Diagram Using Multiobjective Evolutionary Algorithm

... Automated Unit Tests are written to test on code level. Bugs are identified in the functions, methods and routines written by developers. These resources have access to source code and they write unit tests to ... See full document

10

Test Case Generation and Minimization using UML Activity Diagram in Model Driven Environment

Test Case Generation and Minimization using UML Activity Diagram in Model Driven Environment

... work test cases for different projects are generated through a tool called test optimal ...generated test cases are stored in either in excel file in table format or in HTML ...Stored test ... See full document

5

An enhanced test case generation technique using activity diagram for system testing

An enhanced test case generation technique using activity diagram for system testing

... Because Test case creation (generation) is of indispensable significance, this study has focused on the use of Unified Modeling Language (UML) behavioral models to accomplish it ...used ... See full document

33

Test Case Generation based on Activity Diagram for Mobile Application

Test Case Generation based on Activity Diagram for Mobile Application

... for test case generation for navigation mobile application based on activity diagram and complexity will be calculated by Cyclomatic ...complexity. Activity diagram is one ... See full document

6

Automatic Test Data Generation using Genetic Algorithm using Sequence Diagram

Automatic Test Data Generation using Genetic Algorithm using Sequence Diagram

... genetic algorithm to generate the test ...for generation of test data for ...the test case generation by means of UML sequence diagram using genetic ... See full document

8

Approaches for Software Testing Using UML

Approaches for Software Testing Using UML

... on using the modeling techniques that are defined in Unified modeling ...use case diagram, object diagram, sequence diagram, collaboration diagram, and activity ...is ... See full document

5

Test Case Generation for Concurrent System using UML Combinational Diagram

Test Case Generation for Concurrent System using UML Combinational Diagram

... testing activity for concurrent systems a difficult task. Test case explosion is the major problem in concurrency testing and make an interruption in systematic testing of concurrent ...generating ... See full document

10

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... dominating activity used by industry, therefore, improvement in its effectiveness, both with respect to the time and resources, is taken as a major factor by many ...the test case ...UML ... See full document

12

Test Case Generation for UML Behavioral Diagram by Traversal Algorithm

Test Case Generation for UML Behavioral Diagram by Traversal Algorithm

... the activity and sequence diagrams into their respective graphs which is called as activity diagram graph (ADG) and sequence diagram graph ...both activity and sequence graph. Then STG ... See full document

5

Generation of Test Cases from Sliced Sequence Diagram

Generation of Test Cases from Sliced Sequence Diagram

... and test cases by using edge marking dynamic slicing algorithm of UML activity ...and test cases are automatically generated with respect to each ... See full document

6

Object Oriented Test Case Generation Technique using Genetic Algorithms

Object Oriented Test Case Generation Technique using Genetic Algorithms

... Keywords UML, Sequence diagrams, Genetic Algorithms, Evolutionary Algorithm, Software Testing, and Test case Generation... INTRODUCTION Software testing is a process to analyze the softw[r] ... See full document

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													Smart test path optimization from sequence diagram using genetic algorithm

1. Smart test path optimization from sequence diagram using genetic algorithm

... this activity is to ensure whether a software passes or fails in terms of its functionality and other ...of test cases such as functional, negative, error, logical test cases, physical test ... See full document

5

Optimization of Distributed Generation using Genetics Algorithm and Improvement in Multiobjective Function

Optimization of Distributed Generation using Genetics Algorithm and Improvement in Multiobjective Function

... Distributed generation (DG) integration in a distribution system has increased due to high penetration ...by using optimal allocation of DG in a power system network ...obtained using genetic ... See full document

8

An evolutionary algorithm with double-level archives for multiobjective optimization

An evolutionary algorithm with double-level archives for multiobjective optimization

... Despite the encouraging performance of MOEAs based on decomposition, there are two unaddressed issues with most algorithms in this class, i.e., the explicit dependence of the solution distribution on the a priori ... See full document

13

Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization

Tchebycheff Method-based Evolutionary Algorithm for Multiobjective Optimization

... As evolutionary algorithms (EAs) continue to be used in solving real world optimiza- tion problems and show promise for successful application in a variety of domains ar- eas [9], interest in extending their ... See full document

39

User Session Based Test Case Generation and Optimization Using Genetic Algorithm

User Session Based Test Case Generation and Optimization Using Genetic Algorithm

... records from current access ...sent from this IP address are appended to the new session under the condition that the time interval of two con- tinuous requests is not greater than max-session-idle-time ... See full document

7

Fuzzy Preference Incorporated Evolutionary Algorithm for Multiobjective Optimization

Fuzzy Preference Incorporated Evolutionary Algorithm for Multiobjective Optimization

... Abstract— Multiobjective evolutionary method is a way to overcome the limitation of the classical methods, by finding multiple solutions within a single run of the solution ...for multiobjective ... See full document

5

A novel multiobjective evolutionary algorithm based on regression analysis

A novel multiobjective evolutionary algorithm based on regression analysis

... Evolutionary algorithm has become an increasingly popular design and optimization tool in the last few years ...ary algorithm, there are still many new areas that needed to be explored with ... See full document

11

Efficient automatic test case generation for data flow testing using neighborhood crossover method in genetic algorithm

Efficient automatic test case generation for data flow testing using neighborhood crossover method in genetic algorithm

... Genetic Algorithm. It took less number of path case generations for finding the test ...Genetic Algorithm for test case generation for data flow ... See full document

5

An Evolutionary Algorithm for Automated Test Data Generation for Software Programs

An Evolutionary Algorithm for Automated Test Data Generation for Software Programs

... In fact, the Big Bang phase dissipates energy and produces disorder and randomness. In the Big Crunch phase, randomly distributed particles (which form the solution when represented in a problem) are arranged into an ... See full document

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