Advances In Machine Learning Applications In Software Engineering

Advances in Machine Learning Applications in Software Engineering
Publisher IGI Global
Release Date
Category Computers
Total Pages 498
ISBN 9781591409434
Rating 4/5 from 21 reviews
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"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by proposing future work in this emerging research field"--Provided by publisher.

Advances in Machine Learning Applications in Software Engineering
  • Author : Zhang, Du,Tsai, Jeffery J.P.
  • Publisher : IGI Global
  • Release Date : 2006-10-31

"This book provides analysis, characterization and refinement of software engineering data in terms of machine learning methods. It depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality while offering readers suggestions by

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Machine Learning Applications In Software Engineering
  • Author : Du Zhang,Jeffrey J P Tsai
  • Publisher : World Scientific
  • Release Date : 2005-02-21

Machine learning deals with the issue of how to build computer programs that improve their performance at some tasks through experience. Machine learning algorithms have proven to be of great practical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a

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Machine Learning Applications in Software Engineering
  • Author : Du Zhang,Jeffrey J. P. Tsai
  • Publisher : World Scientific
  • Release Date : 2005

Machine learning deals with the issue of how to build computerprograms that improve their performance at some tasks throughexperience. Machine learning algorithms have proven to be of greatpractical value in a variety of application domains. Not surprisingly, the field of software engineering turns out to be a fertile groundwhere many

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Machine Learning and Deep Learning in Real Time Applications
  • Author : Mahrishi, Mehul,Hiran, Kamal Kant,Meena, Gaurav,Sharma, Paawan
  • Publisher : IGI Global
  • Release Date : 2020-04-24

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial

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Agile Processes in Software Engineering and Extreme Programming
  • Author : Philippe Kruchten
  • Publisher : Springer
  • Release Date : 2019-01-01

This open access book constitutes the proceedings of the 20th International Conference on Agile Software Development, XP 2019, held in Montreal, QC, Canada, in May 2019. XP is the premier agile software development conference combining research and practice. It is a hybrid forum where agile researchers, academics, practitioners, thought leaders, coaches, and

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Choice
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2006

Read online Choice written by , published by which was released on 2006. Download full Choice Books now! Available in PDF, ePub and Kindle.

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Advances in Machine Learning and Data Analysis
  • Author : Mahyar Amouzegar
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-10-27

A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the

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Advances in Financial Machine Learning
  • Author : Marcos Lopez de Prado
  • Publisher : John Wiley & Sons
  • Release Date : 2018-01-23

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will

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Advances and Applications in Model Driven Engineering
  • Author : Díaz, Vicente García
  • Publisher : IGI Global
  • Release Date : 2013-08-31

As organizations and research institutions continue to emphasize model-driven engineering (MDE) as a first-class approach in the software development process of complex systems, the utilization of software in multiple domains and professional networks is becoming increasingly vital. Advances and Applications in Model-Driven Engineering explores this relatively new approach in software

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Advances in Computing and Intelligent Systems
  • Author : Harish Sharma,Kannan Govindan,Ramesh C. Poonia,Sandeep Kumar,Wael M. El-Medany
  • Publisher : Springer Nature
  • Release Date : 2020-01-03

This book gathers selected papers presented at the International Conference on Advancements in Computing and Management (ICACM 2019). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural language processing and machine translation, parallel and distributed algorithms, as well as pattern recognition

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Ubiquitous Machine Learning and Its Applications
  • Author : Kumar, Pradeep,Tiwari, Arvind
  • Publisher : IGI Global
  • Release Date : 2017-03-03

Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue. Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the

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Machine Learning
  • Author : Roger Inge,Jan Leif
  • Publisher : Nova Science Publishers
  • Release Date : 2017

In chapter one, Lei Jia, PhD and Hua Gao, PhD analyze machine learning applications in small molecule and macromolecule drug discovery and development while comparing the similarities and differences between the two. They also examine their advantages and limitations with the intent to encourage further creative machine learning applications in

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics
  • Author : Thomas, J. Joshua,Karagoz, Pinar,Ahamed, B. Bazeer,Vasant, Pandian
  • Publisher : IGI Global
  • Release Date : 2019-11-29

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on

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Machine Learning  Concepts  Methodologies  Tools and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2011-07-31

"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

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Advances in Artificial Intelligence  Software and Systems Engineering
  • Author : Tareq Z. Ahram
  • Publisher : Springer
  • Release Date : 2018-06-28

This book focuses on emerging issues following the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, highlighting ways to improve technology acceptance, effectiveness, and efficiency. Topics such as responsibility, integration and training are discussed

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