Yogi Manas Kumar (21 results)

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    • Language: English

      Published by Scholars' Press, 2019

      6138914724 / 9786138914723

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    • Language: English

      Published by Scholars\' Press, 2019

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    • Language: English

      Published by Scholars' Press, 2019

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      Taschenbuch. Condition: Neu. Exercising machine language paradigms in software engineering | A Quick Primer | Manas Kumar Yogi (u. a.) | Taschenbuch | 52 S. | Englisch | 2019 | Scholars' Press | EAN 9786138914723 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139893631 / 9786139893638

      • Softcover

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139893631 / 9786139893638

      • Softcover

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      Paperback. Condition: Brand New. 176 pages. 8.66x5.91x0.40 inches. In Stock.

    • Language: English

      Published by Scholars' Press Okt 2019, 2019

      6138914724 / 9786138914723

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Precise estimation of software development exertion is basic in software designing. Thinks little of lead to time weights that may bargain full useful development and intensive testing of software. Interestingly, overestimates can bring about noncompetitive contract offers as well as over designation of development assets and work force. Thus, numerous models for assessing software development exertion have been proposed. This work portrays principles of machine learning, which we use to manufacture estimators of software development exertion from recorded information. Our work demonstrates that these strategies are focused with conventional estimators on one dataset, yet additionally delineate that these techniques are delicate to the information on which they are prepared. This preventative note applies to any model-development procedure that depends on authentic information. Every single such model for software exertion estimation ought to be assessed by investigating model affectability on an assortment of authentic information. 52 pp. Englisch.

    • Language: English

      Published by Scholars' Press, 2019

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    • Language: English

      Published by Scholars' Press, 2019

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    • Language: English

      Published by LAP LAMBERT Academic Publishing Aug 2018, 2018

      6139893631 / 9786139893638

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by Scholars' Press, 2019

      6138914724 / 9786138914723

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Precise estimation of software development exertion is basic in software designing. Thinks little of lead to time weights that may bargain full useful development and intensive testing of software. Interestingly, overestimates can bring about noncompetitive contract offers as well as over designation of development assets and work force. Thus, numerous models for assessing software development exertion have been proposed. This work portrays principles of machine learning, which we use to manufacture estimators of software development exertion from recorded information. Our work demonstrates that these strategies are focused with conventional estimators on one dataset, yet additionally delineate that these techniques are delicate to the information on which they are prepared. This preventative note applies to any model-development procedure that depends on authentic information. Every single such model for software exertion estimation ought to be assessed by investigating model affectability on an assortment of authentic information.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Nov 2025, 2025

      6209180663 / 9786209180668

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      Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 176 pp. Englisch.

    • Language: English

      Published by Scholars' Press Okt 2019, 2019

      6138914724 / 9786138914723

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      Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Precise estimation of software development exertion is basic in software designing. Thinks little of lead to time weights that may bargain full useful development and intensive testing of software. Interestingly, overestimates can bring about noncompetitive contract offers as well as over designation of development assets and work force. Thus, numerous models for assessing software development exertion have been proposed. This work portrays principles of machine learning, which we use to manufacture estimators of software development exertion from recorded information. Our work demonstrates that these strategies are focused with conventional estimators on one dataset, yet additionally delineate that these techniques are delicate to the information on which they are prepared. This preventative note applies to any model-development procedure that depends on authentic information. Every single such model for software exertion estimation ought to be assessed by investigating model affectability on an assortment of authentic information.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139893631 / 9786139893638

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      Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139893631 / 9786139893638

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

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    • Language: English

      Published by LAP LAMBERT Academic Publishing Aug 2018, 2018

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2018

      6139893631 / 9786139893638

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2025

      6209180663 / 9786209180668

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      Taschenbuch. Condition: Neu. Effect of Genetic Algorithm in Prioritization of Regression Test Cases | Second Edition | Manas Kumar Yogi | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209180668 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

    • Language: English

      Published by LAP LAMBERT Academic Publishing Nov 2025, 2025

      6209180663 / 9786209180668

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      Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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      Taschenbuch. Condition: 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.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2025

      6209180663 / 9786209180668

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: 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.