Description: Constraint-Based Design Recovery for Software Reengineering by Steven G. Woods, Alexander E. Quilici, Qiang Yang Estimated delivery 3-12 business days Format Paperback Condition Brand New Description The great challenge of reverse engineering is recovering design information from legacy code: the concept recovery problem. Publisher Description The great challenge of reverse engineering is recovering design information from legacy code: the concept recovery problem. This monograph describes our research effort in attacking this problem. It discusses our theory of how a constraint-based approach to program plan recognition can efficiently extract design concepts from source code, and it details experiments in concept recovery that support our claims of scalability. Importantly, we present our models and experiments in sufficient detail so that they can be easily replicated. This book is intended for researchers or software developers concerned with reverse engineering or reengineering legacy systems. However, it may also interest those researchers who are interested using plan recognition techniques or constraint-based reasoning. We expect the reader to have a reasonable computer science background (i.e., familiarity with the basics of programming and algorithm analysis), but we do not require familiarity with the fields of reverse engineering or artificial intelligence (AI). To this end, we carefully explain all the AI techniques we use. This book is designed as a reference for advanced undergraduate or graduate seminar courses in software engineering, reverse engineering, or reengineering. It can also serve as a supplementary textbook for software engineering-related courses, such as those on program understanding or design recovery, for AI-related courses, such as those on plan recognition or constraint satisfaction, and for courses that cover both topics, such as those on AI applications to software engineering. ORGANIZATION The book comprises eight chapters. Details ISBN 1461374944 ISBN-13 9781461374947 Title Constraint-Based Design Recovery for Software Reengineering Author Steven G. Woods, Alexander E. Quilici, Qiang Yang Format Paperback Year 2012 Pages 189 Edition 97199th Publisher Springer-Verlag New York Inc. GE_Item_ID:151464654; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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ISBN-13: 9781461374947
Book Title: Constraint-Based Design Recovery for Software Reengineering
Item Length: 9.3in
Item Width: 6.1in
Author: Qiang Yang, Alexander E. Quilici, Steven G. Woods
Publication Name: Constraint-Based Design Recovery for Software Reengineering : Theory and Experiments
Format: Trade Paperback
Language: English
Publisher: Springer
Series: International Series in Software Engineering Ser.
Publication Year: 2012
Type: Textbook
Item Weight: 11.9 Oz
Number of Pages: Xxii, 189 Pages