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.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch. Codice articolo 9786200278869
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26386558681
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 394122502
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bajwa Manpreet SinghManpreet Singh Bajwa is working as an Assistant Professor in Dept of Computer Science in College of Engineering, Chandigarh Group of Colleges. He is faculty coordinator for IEEE Student Branch and Google DSC power. Codice articolo 385887076
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. Codice articolo 9786200278869
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. 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. Codice articolo 9786200278869
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