Dr. Divya Sharma, a recent PhD graduate under the guidance of Dr. Jaspreet Singh, presents her groundbreaking research, Search-Based Software Engineering: Code Modularization and Re-Modularization. This work encapsulates her extensive research into optimizing software development processes through advanced search-based techniques using two newly introduced metaheuristic algorithms. Her book explores innovative methods for code modularization and re-modularization, addressing key challenges in software engineering. Dr. Sharma’s research interests span artificial intelligence, machine learning, neural networks, and computer vision, reflecting her commitment to integrating cutting-edge technologies with practical software solutions. This publication not only showcases her expertise in these fields but also offers valuable insights and methodologies for improving software quality and efficiency. With a focus on leveraging metaheuristic algorithms, Dr. Sharma's work is a significant contribution to the realm of software engineering and will serve as a crucial resource for both academics and practitioners in the industry.
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Taschenbuch. Condizione: Neu. Search-Based Software Engineering: Efficient Code Modular Refactoring | Search-Based Software Engineering: Metaheuristic Algorithms for Optimizing Code Modularization and Re-Modularization | Divya Sharma (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207995479 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 129938444
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dr. Divya Sharma, a recent PhD graduate under the guidance of Dr. Jaspreet Singh, presents her groundbreaking research, Search-Based Software Engineering: Code Modularization and Re-Modularization. This work encapsulates her extensive research into optimizing software development processes through advanced search-based techniques using two newly introduced metaheuristic algorithms. Her book explores innovative methods for code modularization and re-modularization, addressing key challenges in software engineering. Dr. Sharmäs research interests span artificial intelligence, machine learning, neural networks, and computer vision, reflecting her commitment to integrating cutting-edge technologies with practical software solutions. This publication not only showcases her expertise in these fields but also offers valuable insights and methodologies for improving software quality and efficiency. With a focus on leveraging metaheuristic algorithms, Dr. Sharma's work is a significant contribution to the realm of software engineering and will serve as a crucial resource for both academics and practitioners in the industry.Books on Demand GmbH, Überseering 33, 22297 Hamburg 140 pp. Englisch. Codice articolo 9786207995479
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dr. Divya Sharma, a recent PhD graduate under the guidance of Dr. Jaspreet Singh, presents her groundbreaking research, Search-Based Software Engineering: Code Modularization and Re-Modularization. This work encapsulates her extensive research into optimizing software development processes through advanced search-based techniques using two newly introduced metaheuristic algorithms. Her book explores innovative methods for code modularization and re-modularization, addressing key challenges in software engineering. Dr. Sharma's research interests span artificial intelligence, machine learning, neural networks, and computer vision, reflecting her commitment to integrating cutting-edge technologies with practical software solutions. This publication not only showcases her expertise in these fields but also offers valuable insights and methodologies for improving software quality and efficiency. With a focus on leveraging metaheuristic algorithms, Dr. Sharma's work is a significant contribution to the realm of software engineering and will serve as a crucial resource for both academics and practitioners in the industry. Codice articolo 9786207995479
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