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  • 1
    UID:
    b3kat_BV046403999
    Format: 1 Online-Ressource (xi, 118 Seiten) , Illustrationen, Diagramme
    ISBN: 9783030380069
    Series Statement: Learning and analytics in intelligent systems 8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-38005-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-38007-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-38008-3
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    b3kat_BV046451720
    Format: 1 Online-Ressource (xiv, 165 Seiten) , Illustrationen, Diagramme
    ISBN: 9789811524554
    Series Statement: Services and business process reengineering
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-15-2454-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    UID:
    b3kat_BV047270838
    Format: 1 Online-Ressource (XIII, 300 Seiten) , Illustrationen
    ISBN: 9783030693954
    Series Statement: Intelligent Systems Reference Library volume 203
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69394-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69396-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-69397-8
    Language: English
    Keywords: Blockchain ; Datenbanksystem ; Künstliche Intelligenz
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    edoccha_9959767503402883
    Format: 1 online resource (173 pages).
    Edition: 1st ed. 2020.
    ISBN: 981-15-2455-6
    Series Statement: Services and Business Process Reengineering,
    Content: This book covers both theory and applications in the automation of software testing tools and techniques for various types of software (e.g. object-oriented, aspect-oriented, and web-based software). When software fails, it is most often due to lack of proper and thorough testing, an aspect that is even more acute for object-oriented, aspect-oriented, and web-based software. Further, since it is more difficult to test distributed and service-oriented architecture-based applications, there is a pressing need to discuss the latest developments in automated software testing. This book discusses the most relevant issues, models, tools, challenges, and applications in automated software testing. Further, it brings together academic researchers, scientists, and engineers from a wide range of industrial application areas, who present their latest findings and identify future challenges in this fledging research area.
    Note: Object Oriented Modeling of multifaceted service delivery system using connected governance -- Automated Requirements Extraction and Product Configuration Verification for Software Product Line -- Test Case Generation for Model Based Testing of Object Oriented Programs -- New Metrics for Predicting the Reliability of Individual Component based on Software Design Metrics -- Prediction priority of defective modules for testing resource allocation -- Early Reliability Prediction Model Integrating Halstead Metrics and Fuzzy Usage -- Investigation and Analysis of Power System Faults with Soft Computational Techniques -- Decision Making on Critical Component Using Combined Approach.
    Additional Edition: ISBN 981-15-2454-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    almahu_9948689690302882
    Format: XIII, 300 p. 95 illus., 47 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030693954
    Series Statement: Intelligent Systems Reference Library, 203
    Content: This book discusses the various open issues of blockchain technology, such as the efficiency of blockchain in different domains of digital cryptocurrency, smart contracts, smart education system, smart cities, cloud identity and access, safeguard to cybersecurity and health care. For the first time in human history, people across the world can trust each other and transact over a large peer-to-peer networks without any central authority. This proves that, trust can be built not only by centralized institution but also by protocols and cryptographic mechanisms. The potential and collaboration between organizations and individuals within peer networks make it possible to potentially move to a global collaborative network without centralization. Blockchain is a complex social, economic and technological phenomenon. This questions what the established terminologies of the modern world like currency, trust, economics and exchange would mean. To make any sense, one needs to realize how much insightful and potential it is in the context and the way it is technically developed. Due to rapid changes in accessing the documents through online transactions and transferring the currency online, many previously used methods are proving insufficient and not secure to solve the problem which arises in the safe and hassle-free transaction. Nowadays, the world changes rapidly, and a transition flow is also seen in Business Process Management (BPM). The traditional Business Process Management holds good establishment last one to two decades, but, the internal workflow confined in a single organization. They do not manage the workflow process and information across organizations. If they do so, again fall in the same trap as the control transfers to the third party that is centralized server and it leads to tampering the data, and single point of failure. To address these issues, this book highlights a number of unique problems and effective solutions that reflects the state-of-the art in blockchain Technology. This book explores new experiments and yields promising solutions to the current challenges of blockchain technology. This book is intended for the researchers, academicians, faculties, scientists, blockchain specialists, business management and software industry professionals who will find it beneficial for their research work and set new ideas in the field of blockchain. This book caters research work in many fields of blockchain engineering, and it provides an in-depth knowledge of the fields covered.
    Note: Blockchain Technology Introduction, Applications, Challenges -- A Blockchain Framework for Healthcare Data Management -- Blockchain Technology in Healthcare Opportunities and Challenges -- Blockchain in Healthcare System Security Issues, Attacks and Challenges -- Application of Blockchain as a solution -- UML Conceptual Analysis of Smart Contract for Health Claim Processing.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030693947
    Additional Edition: Printed edition: ISBN 9783030693961
    Additional Edition: Printed edition: ISBN 9783030693978
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    almahu_9948274955602882
    Format: XI, 118 p. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030380069
    Series Statement: Learning and Analytics in Intelligent Systems, 8
    Content: This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software's complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.
    Note: Chapter 1: Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules -- Chapter 2: Effort Estimation of Web based Applications using ERD, use Case Point Method and Machine Learning -- Chapter 3: Usage of Machine Learning in Software Testing -- Chapter 4: Test Scenarios Generation using Combined Object-Oriented Models -- Chapter 5: A Novel Approach of Software Fault Prediction using Deep Learning Technique -- Chapter 6: Feature-Based Semi-Supervised Learning to Detect Malware from Android.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783030380052
    Additional Edition: Printed edition: ISBN 9783030380076
    Additional Edition: Printed edition: ISBN 9783030380083
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    almahu_9948253966802882
    Format: XIV, 165 p. 59 illus., 20 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811524554
    Series Statement: Services and Business Process Reengineering,
    Content: This book covers both theory and applications in the automation of software testing tools and techniques for various types of software (e.g. object-oriented, aspect-oriented, and web-based software). When software fails, it is most often due to lack of proper and thorough testing, an aspect that is even more acute for object-oriented, aspect-oriented, and web-based software. Further, since it is more difficult to test distributed and service-oriented architecture-based applications, there is a pressing need to discuss the latest developments in automated software testing. This book discusses the most relevant issues, models, tools, challenges, and applications in automated software testing. Further, it brings together academic researchers, scientists, and engineers from a wide range of industrial application areas, who present their latest findings and identify future challenges in this fledging research area.
    Note: Object Oriented Modeling of multifaceted service delivery system using connected governance -- Automated Requirements Extraction and Product Configuration Verification for Software Product Line -- Test Case Generation for Model Based Testing of Object Oriented Programs -- New Metrics for Predicting the Reliability of Individual Component based on Software Design Metrics -- Prediction priority of defective modules for testing resource allocation -- Early Reliability Prediction Model Integrating Halstead Metrics and Fuzzy Usage -- Investigation and Analysis of Power System Faults with Soft Computational Techniques -- Decision Making on Critical Component Using Combined Approach.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9789811524547
    Additional Edition: Printed edition: ISBN 9789811524561
    Additional Edition: Printed edition: ISBN 9789811524578
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    UID:
    edoccha_9959767609702883
    Format: 1 online resource (125 pages).
    Edition: 1st ed. 2020.
    ISBN: 3-030-38006-8
    Series Statement: Learning and Analytics in Intelligent Systems, 8
    Content: This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the software’s complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering.
    Note: Chapter 1: Selection of Significant Metrics for Improving the Performance of Change-Proneness Modules -- Chapter 2: Effort Estimation of Web based Applications using ERD, use Case Point Method and Machine Learning -- Chapter 3: Usage of Machine Learning in Software Testing -- Chapter 4: Test Scenarios Generation using Combined Object-Oriented Models -- Chapter 5: A Novel Approach of Software Fault Prediction using Deep Learning Technique -- Chapter 6: Feature-Based Semi-Supervised Learning to Detect Malware from Android.
    Additional Edition: ISBN 3-030-38005-X
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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