HYBRID APPROACH FOR EFFECTIVE TESTDATA TRADE-OFF FOR SOFTWARE TESTING: FUNCTIONAL TESTING USING GENETIC ALGORITHM - Couverture souple

GEETHA, Dr.B.G.; Kanmani, .

 
9783843363198: HYBRID APPROACH FOR EFFECTIVE TESTDATA TRADE-OFF FOR SOFTWARE TESTING: FUNCTIONAL TESTING USING GENETIC ALGORITHM
Couverture souple
ISBN 10 : 3843363196 ISBN 13 : 9783843363198
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

Testing is a process used to identify quality of developed computer software.One of the important activity in testing environment is automatic test case generation, independent of the way a given software system is designed. This project presents a fusion approach in functional testing for generating test cases using genetic neural networks. The system is aimed to carry out the test data generation process for functional testing. The paper explains how the method can be used to produce a set of test cases covering the most common functional existing in software automatically. Test case inputs are generated randomly and the valid inputs are selected for the proper output. The association rule mining techniques are used to validate the generated data sets. The genetic algorithm is used to generate data values for the test cases. The testing process should be done in a way to scrutinize the faults still. The generated test data is validated arithmetically. This approach is applicable for systems in which large amount of input/output data is available.

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Présentation de l'éditeur

Testing is a process used to identify quality of developed computer software.One of the important activity in testing environment is automatic test case generation, independent of the way a given software system is designed. This project presents a fusion approach in functional testing for generating test cases using genetic neural networks. The system is aimed to carry out the test data generation process for functional testing. The paper explains how the method can be used to produce a set of test cases covering the most common functional existing in software automatically. Test case inputs are generated randomly and the valid inputs are selected for the proper output. The association rule mining techniques are used to validate the generated data sets. The genetic algorithm is used to generate data values for the test cases. The testing process should be done in a way to scrutinize the faults still. The generated test data is validated arithmetically. This approach is applicable for systems in which large amount of input/output data is available.

Biographie de l'auteur

Dr.B.G.GEETHA, PROFESSOR/HEAD, DEPARTMENT OF CSE K.S.R.COLLEGE OF TECHNOLOGY, TIRUHENGODE 637215 NAMAKKAL DT,TAMILNADU INDIA AREA OF INTEREST : SOFTWARE ENGINEERING EXPERIENCE : 18 YEARS TECHNICAL TEACHING

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3843363196
ISBN 13 
9783843363198
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
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