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Synergies Between Knowledge Engineering And Software Engineering


Synergies Between Knowledge Engineering And Software Engineering
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Synergies Between Knowledge Engineering And Software Engineering


Synergies Between Knowledge Engineering And Software Engineering
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Author : Grzegorz J. Nalepa
language : en
Publisher: Springer
Release Date : 2017-09-15

Synergies Between Knowledge Engineering And Software Engineering written by Grzegorz J. Nalepa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-15 with Technology & Engineering categories.


This book compiles a number of contributions originating from the KESE (Knowledge Engineering and Software Engineering) workshop series from 2005 to 2015. The idea behind the series was the realignment of the knowledge engineering discipline and its strong relation to software engineering, as well as to the classical aspects of artificial intelligence research. The book introduces symbiotic work combining these disciplines, such as aspect-oriented and agile engineering, using anti-patterns, and system refinement. Furthermore, it presents successful applications from different areas that were created by combining techniques from both areas.



Knowledge Engineering And Management


Knowledge Engineering And Management
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Author : Guus Schreiber
language : en
Publisher: MIT Press
Release Date : 2000

Knowledge Engineering And Management written by Guus Schreiber and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.


Prologue: The Value of Knowledge -- 2. Knowledge-Engineering Basics -- 3. The Task and Its Organizational Context -- 4. Knowledge Management -- 5. Knowledge Model Components -- 6. Template Knowledge Models -- 7. Knowledge Model Construction -- 8. Knowledge-Elicitation Techniques -- 9. Modelling Communication Aspects -- 10. Case Study: The Housing Application -- 11. Designing Knowledge Systems -- 12. Knowledge-System Implementation -- 13. Advanced Knowledge Modelling -- 14. UML Notations Used in Common KADS -- 15. Project Management.



Data Science And Knowledge Engineering For Sensing Decision Support Proceedings Of The 13th International Flins Conference


Data Science And Knowledge Engineering For Sensing Decision Support Proceedings Of The 13th International Flins Conference
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Author : Jun Liu
language : en
Publisher: World Scientific
Release Date : 2018-07-30

Data Science And Knowledge Engineering For Sensing Decision Support Proceedings Of The 13th International Flins Conference written by Jun Liu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-30 with Computers categories.


FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to include Computational Intelligence for applied research. The contributions of the FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the foundations and the applications points-of-view.



Evaluation Of Novel Approaches To Software Engineering


Evaluation Of Novel Approaches To Software Engineering
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Author : Raian Ali
language : en
Publisher: Springer Nature
Release Date : 2021-02-26

Evaluation Of Novel Approaches To Software Engineering written by Raian Ali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-26 with Computers categories.


This book constitutes selected, revised and extended papers of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2020, held in virtual format, in May 2020. The 19 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers included in this book contribute to the understanding of relevant trends of current research on novel approaches to software engineering for the development and maintenance of systems and applications, specically with relation to: model-driven software engineering, requirements engineering, empirical software engineering, service-oriented software engineering, business process management and engineering, knowledge management and engineering, reverse software engineering, software process improvement, software change and configuration management, software metrics, software patterns and refactoring, application integration, software architecture, cloud computing, and formal methods.



Computational Intelligence In Software Engineering


Computational Intelligence In Software Engineering
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Author : Witold Pedrycz
language : en
Publisher:
Release Date : 2004

Computational Intelligence In Software Engineering written by Witold Pedrycz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computational intelligence categories.




Value Based Software Engineering


Value Based Software Engineering
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Author : Stefan Biffl
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-23

Value Based Software Engineering written by Stefan Biffl and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-23 with Computers categories.


The IT community has always struggled with questions concerning the value of an organization’s investment in software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule – such decisions must be economically feasible and comprehensible to the stakeholders with differing value perspectives. VBSE has its roots in work on software engineering economics, pioneered by Barry Boehm in the early 1980s. However, the emergence of a wider scope that defines VBSE is more recent. VBSE extends the merely technical ISO software engineering definition with elements not only from economics, but also from cognitive science, finance, management science, behavioral sciences, and decision sciences, giving rise to a truly multi-disciplinary framework. Biffl and his co-editors invited leading researchers and structured their contributions into three parts, following an introduction into the area by Boehm himself. They first detail the foundations of VBSE, followed by a presentation of state-of-the-art methods and techniques. The third part demonstrates the benefits of VBSE through concrete examples and case studies. This book deviates from the more anecdotal style of many management-oriented software engineering books and so appeals particularly to all readers who are interested in solid foundations for high-level aspects of software engineering decision making, i.e., to product or project managers driven by economics and to software engineering researchers and students.



Overcoming Challenges In Software Engineering Education Delivering Non Technical Knowledge And Skills


Overcoming Challenges In Software Engineering Education Delivering Non Technical Knowledge And Skills
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Author : Yu, Liguo
language : en
Publisher: IGI Global
Release Date : 2014-03-31

Overcoming Challenges In Software Engineering Education Delivering Non Technical Knowledge And Skills written by Yu, Liguo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-31 with Computers categories.


Computer science graduates often find software engineering knowledge and skills are more in demand after they join the industry. However, given the lecture-based curriculum present in academia, it is not an easy undertaking to deliver industry-standard knowledge and skills in a software engineering classroom as such lectures hardly engage or convince students. Overcoming Challenges in Software Engineering Education: Delivering Non-Technical Knowledge and Skills combines recent advances and best practices to improve the curriculum of software engineering education. This book is an essential reference source for researchers and educators seeking to bridge the gap between industry expectations and what academia can provide in software engineering education.



Handbook On Artificial Intelligence Empowered Applied Software Engineering


Handbook On Artificial Intelligence Empowered Applied Software Engineering
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Author : Maria Virvou
language : en
Publisher: Springer Nature
Release Date : 2022-09-03

Handbook On Artificial Intelligence Empowered Applied Software Engineering written by Maria Virvou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-03 with Technology & Engineering categories.


This book provides a structured overview of artificial intelligence-empowered applied software engineering. Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions lead current research towards the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. This book at hand, devoted to Novel Methodologies to Engineering Smart Software Systems Novel Methodologies to Engineering Smart Software Systems, constitutes the first volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in (i) Artificial Intelligence-Assisted Software Development and (ii) Software Engineering Tools to develop Artificial Intelligence Applications, as well as a detailed Survey of Recent Relevant Literature. Professors, researchers, scientists, engineers and students in artificial intelligence, software engineering and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.



Software Engineering Effective Teaching And Learning Approaches And Practices


Software Engineering Effective Teaching And Learning Approaches And Practices
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Author : Ellis, Heidi J.C.
language : en
Publisher: IGI Global
Release Date : 2008-10-31

Software Engineering Effective Teaching And Learning Approaches And Practices written by Ellis, Heidi J.C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Computers categories.


Over the past decade, software engineering has developed into a highly respected field. Though computing and software engineering education continues to emerge as a prominent interest area of study, few books specifically focus on software engineering education itself. Software Engineering: Effective Teaching and Learning Approaches and Practices presents the latest developments in software engineering education, drawing contributions from over 20 software engineering educators from around the globe. Encompassing areas such as student assessment and learning, innovative teaching methods, and educational technology, this much-needed book greatly enhances libraries with its unique research content.



Knowledge Management In The Development Of Data Intensive Systems


Knowledge Management In The Development Of Data Intensive Systems
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Author : Ivan Mistrik
language : en
Publisher: CRC Press
Release Date : 2021-06-15

Knowledge Management In The Development Of Data Intensive Systems written by Ivan Mistrik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.


Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.