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.
Prioritizing Coverage-Oriented Testing Process - An Adaptive-Learning-Based Approach and Case Study (F Belli, M Eminov, N Gokce & W E Wong); Statistical Evaluation Methods for V&V of Neuro-Adaptive Systems (Y Liu, J Schumann & B Cukic); Adaptive Random Testing (D Towey); Transparent Shaping: A Methodology for Adding Adaptive Behavior to Existing Software Systems and Applications (S M Sadjadi, P K McKinley & B H C Cheng); Rule Extraction to Understand Changes in an Adaptive System (M Darrah); Requirements Engineering via Lyqpunov Analysis for Adaptive Flight Control Systems (G Campa, M Mammarella, M L Fravolini & B Cukic); Quantitative Modeling for Incremental Software Process Control (S D Miller, R A DeCarlo & A P Mathur); Proactive Monitoring and Control of Workflow Execution in Adaptive Service-based Systems (S S Yau & D-Z Huang); Accelerated Life Tests and Software Aging (R Matias Jr & K S Trivedi).
