Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200278865 ISBN 13: 9786200278869
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200278865 ISBN 13: 9786200278869
Lingua: Inglese
Da: preigu, Osnabrück, Germania
EUR 36,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Software Testing | Fault Localization in Software Testing Factor Analysis with CK Metrics | Manpreet Singh Bajwa | Taschenbuch | 56 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200278869 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200278865 ISBN 13: 9786200278869
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 63,02
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200278865 ISBN 13: 9786200278869
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 64,02
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Editore: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200278865 ISBN 13: 9786200278869
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Testing is the most important and critical task in software development life cycle. Whenever a Software Testing execution fails its test scripts is analyzed so that the point where the fault occurred can be detected and the expected result can be achieved also called as fault localization. Manually fault localization can be a cumbersome job so providing an automated technique to do the same without human intervention is the target. In this research, a brief overview of all the technique of soft computing is implemented for software fault localization to achieve better results. Specifying the above, it would generate a better result using a machine learning technique for time reduction. The research aims to propose and experimentally show a survey on usage of soft computing technique sorting out the software fault localization issue and also which technique is minimizing the time and space complexities so that accurate and reliable results can be achieved in better usability and effectiveness. This report aims to implement soft computing method to help in software testing and decide their ease of usage and effectiveness.