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ISBN 10: 6139893631 ISBN 13: 9786139893638
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Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Effect of Genetic Algorithm in Prioritization of Regression Test Cases | Manas Kumar Yogi | Taschenbuch | 176 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139893638 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2018, 2018
ISBN 10: 6139893631 ISBN 13: 9786139893638
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Regression testing is an essential and expensive activity in the maintenance phase to show that the code has not been affected by the changes. It consumes 80% of the maintenance cost. Hence optimizing the regression testing will be the prime motives for the software testers. We prioritize the test case based on number of the modified lines the test case covers. The test case that covers the maximum number of the modified lines is given highest priority, and executed first. Hence even if testing is not completed we can cover maximum number of modified lines. The test cases prioritization is done by using genetic algorithm. It takes the test case information as input and it produces a sequence of the test case that has to be executed so that maximum number of the modified code gets covered. 176 pp. Englisch.
Lingua: Inglese
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ISBN 10: 6139893631 ISBN 13: 9786139893638
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yogi Manas KumarMr. Manas Kumar Yogi is currently working as Assistant Professor in the department of Computer Science Engineering , Pragati Engineering College (Autonomous),Surampalem, East Godavari District, since 2014. He is a me.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139893631 ISBN 13: 9786139893638
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Lingua: Inglese
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Aug 2018, 2018
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Regression testing is an essential and expensive activity in the maintenance phase to show that the code has not been affected by the changes. It consumes 80% of the maintenance cost. Hence optimizing the regression testing will be the prime motives for the software testers. We prioritize the test case based on number of the modified lines the test case covers. The test case that covers the maximum number of the modified lines is given highest priority, and executed first. Hence even if testing is not completed we can cover maximum number of modified lines. The test cases prioritization is done by using genetic algorithm. It takes the test case information as input and it produces a sequence of the test case that has to be executed so that maximum number of the modified code gets covered.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139893631 ISBN 13: 9786139893638
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Regression testing is an essential and expensive activity in the maintenance phase to show that the code has not been affected by the changes. It consumes 80% of the maintenance cost. Hence optimizing the regression testing will be the prime motives for the software testers. We prioritize the test case based on number of the modified lines the test case covers. The test case that covers the maximum number of the modified lines is given highest priority, and executed first. Hence even if testing is not completed we can cover maximum number of modified lines. The test cases prioritization is done by using genetic algorithm. It takes the test case information as input and it produces a sequence of the test case that has to be executed so that maximum number of the modified code gets covered.