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Adaptive control approach for software quality improvement / editors, W. Eric Wong, Bojan Cukic.

Contributor(s): Material type: TextTextSeries: Series on software engineering and knowledge engineering ; v. 20.Publication details: Singapore ; Hoboken, NJ : World Scientific, c 2011.Description: 1 online resource (viii, 299 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9814340928
  • 9789814340922
  • 1283433729
  • 9781283433723
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 005.14 22
LOC classification:
  • QA76.76.Q35 A33 2011
Online resources:
Contents:
1. Prioritizing coverage-oriented testing process -- an adaptive-learning-based approach and case study / Fevzi Belli [and others] -- 2. Statistical evaluation methods for V & V of neuro-adaptive systems / Y. Liu, J. Schumann and B. Cukic -- 3. Adaptive random testing / Dave Towey -- 4. Transparent shaping : a methodology for adding adaptive behavior to existing software systems / S. Masoud Sadjadi, Philip K. Mckinley and Betty H.C. Cheng -- 5. Rule extraction to understand changes in an adaptive system / Marjorie A. Darrah and Brian J. Taylor -- 6. Requirements engineering via Lyapunov analysis for adaptive flight control systems / Giampiero Campa [and others] -- 7. Quantitative modeling for incremental software process control / Scott D. Miller, Raymond A. Decarlo and Aditya P. Mathur -- 8. Proactive monitoring and control of workflow execution in adaptive service-based systems / Stephen S. Yau and Dazhi Huang -- 9. Accelerated life tests and software aging / Rivalino Matias Jr. and Kishor S. Trivedi.
Summary: 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. Control theory approaches presented in the book provide some of the answers to these challenges. The book weaves together diverse research topics (such as requirements engineering, software development processes, pervasive and autonomic computing, service-oriented architectures, on-line adaptation of software behavior, testing and QoS control) into a coherent whole. Written by world-renowned experts, this book is truly a noteworthy and authoritative reference for students, researchers and practitioners to better understand how the adaptive control approach can be applied to improve the quality of software systems. Book chapters also outline future theoretical and experimental challenges for researchers in this area.
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Includes bibliographical references.

1. Prioritizing coverage-oriented testing process -- an adaptive-learning-based approach and case study / Fevzi Belli [and others] -- 2. Statistical evaluation methods for V & V of neuro-adaptive systems / Y. Liu, J. Schumann and B. Cukic -- 3. Adaptive random testing / Dave Towey -- 4. Transparent shaping : a methodology for adding adaptive behavior to existing software systems / S. Masoud Sadjadi, Philip K. Mckinley and Betty H.C. Cheng -- 5. Rule extraction to understand changes in an adaptive system / Marjorie A. Darrah and Brian J. Taylor -- 6. Requirements engineering via Lyapunov analysis for adaptive flight control systems / Giampiero Campa [and others] -- 7. Quantitative modeling for incremental software process control / Scott D. Miller, Raymond A. Decarlo and Aditya P. Mathur -- 8. Proactive monitoring and control of workflow execution in adaptive service-based systems / Stephen S. Yau and Dazhi Huang -- 9. Accelerated life tests and software aging / Rivalino Matias Jr. and Kishor S. Trivedi.

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. Control theory approaches presented in the book provide some of the answers to these challenges. The book weaves together diverse research topics (such as requirements engineering, software development processes, pervasive and autonomic computing, service-oriented architectures, on-line adaptation of software behavior, testing and QoS control) into a coherent whole. Written by world-renowned experts, this book is truly a noteworthy and authoritative reference for students, researchers and practitioners to better understand how the adaptive control approach can be applied to improve the quality of software systems. Book chapters also outline future theoretical and experimental challenges for researchers in this area.

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