Last edited by Arashijora
Monday, August 3, 2020 | History

1 edition of Adaptive control approach for software quality improvement found in the catalog.

Adaptive control approach for software quality improvement

by W. Eric Wong

  • 37 Want to read
  • 34 Currently reading

Published by World Scientific in Singapore, Hackensack, NJ .
Written in English

    Subjects:
  • Control theory,
  • Quality control,
  • Testing,
  • Computer software,
  • Adaptive control systems

  • Edition Notes

    Includes bibliographic references.

    Statementeditors, W. Eric Wong, Bojan Cukic
    SeriesSeries on software engineering and knowledge engineering -- v. 20
    The Physical Object
    Paginationviii, 299 p.
    Number of Pages299
    ID Numbers
    Open LibraryOL27014397M
    ISBN 10981434091X
    ISBN 109789814340915
    OCLC/WorldCa697261732

    Book Description. Establishing adaptive control as an alternative framework to design and analyze Internet congestion controllers, End-to-End Adaptive Congestion Control in TCP/IP Networks employs a rigorously mathematical approach coupled with a lucid writing style to provide extensive background and introductory material on dynamic systems stability and . Advanced control methodologies (such as adaptive control and intelligent control), as well as improvements in computer and information technologies (such as digital signal processors, workstations, and real-time operating systems), can be used to make manufacturing processes more flexible and adaptive, while maintaining optimum process.

    Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control offers a detailed presentation of the modern statistical methods for quality control and improvement. Thorough coverage of statistical process control (SPC) demonstrates the . PID and APC (advanced process control) control quality monitoring, reporting and control parameter adjustments. Online oscillation detection, operator alerts, adaptive control action and automatic control parameter adjustments. Sequence control programs for product grade transitions and for planned changes in process conditions.

    McKinley), An Adaptive Control Approach for Software Quality Improvement, edited by B. Cukic and E. Wong, World Scienti c Press, , pp. 77{, ISBN: File Size: KB. Updated appearance of warning messages for Pilot Assist, cruise control, adaptive cruise control and speed limiter. With the software update released in May , the appearance of certain warning messages has been updated for the following functions, Pilot Assist, cruise control (CC), adaptive cruise control (ACC) and speed limiter(SL).


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Adaptive control approach for software quality improvement by W. Eric Wong Download PDF EPUB FB2

This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity, some of the central challenges include their ability to self-manage and adapt at run time, responding to changing user needs and environments, faults, and vulnerabilities.

Product Information. This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity, some of the central challenges include their ability to self-manage and adapt at run time, responding to changing user needs and environments, faults, and vulnerabilities.

Series on Software Engineering and Knowledge Engineering Adaptive Control Approach for Software Quality Improvement, pp. () No. This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity, some of the central challenges include their ability to self-manage and adapt at run time, responding to changi.

If you click on the book title you are taken into the book where you can browse the index and access various parts of the book. How to Find E-books Adaptive Control Approach for Software Quality Improvement. Abstract. This chapter examines the structure and purpose of three pioneering and popular software quality characterization models (McCall, Boehm and ISO ), in order to assist software professionals in quantitatively specifying and measuring software attributes for software quality control and ongoing process improvement.

The three software quality characterization. (1) The Adaptive Conceptual Model proposes that a software development organization is a complex adaptive system like a marketplace or a flock of birds. According to the theory, CASs composed of independent agents acting for themselves without centralized control can under proper circumstances develop "emergent" capabilities exceeding the mere Cited by: An Adaptive Control Approach for Software Quality Improvement, W.

Eric Wong and Bojan Cukic, published by World Scientific (in preparation) Book Chapters Use of Visualization to Aid Object-Oriented Redesign, W.

Eric Wong and J. Jenny Li, Software Visualization - From Theory to Practice (Ed. Zhang), Kluwer Academic Publishers, pp.

Adaptive Control Approach for Software Quality Improvement. This book focuses on the topic of improving software quality using adaptive control approaches.

As software systems grow in complexity, some of the central challenges include their ability to self-manage. Adaptive Control: The Model Reference Approach (Control and System Theory) [Landau, Yoan D.] on *FREE* shipping on qualifying offers.

Adaptive Control: The Model Reference Approach (Control and System Theory)Cited by: Adaptive Control (second edition) shows how a desired level of system performance can be maintained automatically and in real time, even when process or disturbance parameters are unknown and variable.

It is a coherent exposition of the many aspects of this field, setting out the problems to be addressed and moving on to solutions, their practical significance and their Brand: Springer-Verlag London.

This paper presents an adaptive control scheme to stabilize second order systems of the form y ¨ + a 1 * y ˙ + a 2 * y = b 0 * u ˙ + b 1 * u which may possibly be non-minimum phase. The adaptive control scheme achieves asymptotical stabilization through pole placement techniques without any a priori knowledge on the plant parameters.

The. Adaptive management is a systematic approach for improving resource management by learning from management outcomes (1). Its origin can be traced back to ideas of scientific management pioneered by Frederick Taylor in the early s (2,3). Various perspectives on adaptive management are rooted in parallel concepts.

report defines quality improvement in healthcare, describes critical quality improvement considerations, components, and tools, and identifies the top five quality improvement essentials: 1. Adaptive leadership, culture, and governance 2. Analytics 3.

Evidence- and consensus-based best practices 4. Adoption 5. Financial alignmentFile Size: 1MB. Book: Adaptive Control Approach for Software Quality Improvement (Series on Software Engineering & Knowledge Engineering) ISBN: Publisher: World Scientific Publishing.

Year: Download. Many in healthcare today are interested in defining “quality improvement”. We propose defining it as the combined and unceasing efforts of everyone—healthcare professionals, patients and their families, researchers, payers, planners and educators—to make the changes that will lead to better patient outcomes (health), better system performance (care) and better professional Cited by: software—Quality control.

Myers, Ware. Title. QAD47P 'dc21 All product and service names appearing herein are trademarks or registered trademarks or service marks or registered service marks of their respective own-ers and should be treated as such.

Cover Design: David W. McClintock. Passive adaptive management is used as a part of the agile approach. Figure 1. Traditional project management process versus active and passive adaptive management processes.

The goal of active adaptive management is to learn by experimentation to determine the best management strategy. The process starts with hypothesis generation, which Author: Lev Virine.

Fundamentals of Quality Control and Improvement, 2nd Edition. Description. Appropriate for undergraduate and graduate level courses in Statistical Quality Control, Statistical Process Control, or Quality Management, Business Administration in Management as well as related courses in Engineering and Technology.

It is evolved from the best practices of Rapid Application Development (RAD) and Evolutionary Life Cycles. Adaptive Software Development was then extended to include adaptive approaches for the management, with speculation replacing Planning. Jim Highsmith published a book on Adaptive Software Development in In Highsmith’s words −.

The main idea in adaptive control is the improvement in production rate and of part quality by calculation and setting of the optimal variables during the machining itself. a novel approach Author: Yoram Koren.Taking a realistic approach, the author presents techniques for applying the theory to solving practical problems and shows how the designer of adaptive-control.

Technical fixes are not bad, and may be part of the solution, but are insufficient for adaptive work. When we treat adaptive work with technical fixes the problem keeps coming back, again and again.

There are several examples of adaptive work: Improvement in quality and safety outcomes of patient care.