Description: Machine Learning for Dynamic Software Analysis: Potentials and Limits by Amel Bennaceur, Karl Meinke, Reiner Hähnle Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. These require new software analysis techniques based on machine learning, such as learning-based software testing, invariant generation or code synthesis. Publisher Description Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. Increased productivity in software engineering relies on the creation of new adaptive, scalable tools that can analyse large and continuously changing software systems. These require new software analysis techniques based on machine learning, such as learning-based software testing, invariant generation or code synthesis. Machine learning is a powerful paradigm that provides novel approaches to automating the generation of models and other essential software artifacts. This volume originates from a Dagstuhl Seminar entitled "Machine Learning for Dynamic Software Analysis: Potentials and Limits" held in April 2016. The seminar focused on fostering a spirit of collaboration in order to share insights and to expand and strengthen the cross-fertilisation between the machine learning and software analysis communities. The book provides an overview of the machine learning techniques that can be used for software analysis and presents example applications of their use. Besides an introductory chapter, the book is structured into three parts: testing and learning, extension of automata learning, and integrative approaches. Details ISBN 3319965611 ISBN-13 9783319965611 Title Machine Learning for Dynamic Software Analysis: Potentials and Limits Author Amel Bennaceur, Karl Meinke, Reiner Hähnle Format Paperback Year 2018 Pages 257 Edition 1st Publisher Springer International Publishing AG GE_Item_ID:140277869; 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
Price: 83.47 USD
Location: Fairfield, Ohio
End Time: 2024-08-19T02:24:29.000Z
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Restocking Fee: No
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Refund will be given as: Money Back
ISBN-13: 9783319965611
Book Title: Machine Learning for Dynamic Software Analysis: Potentials and Li
Number of Pages: IX, 257 Pages
Publication Name: Machine Learning for Dynamic Software Analysis: Potentials and Limits : International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Software Development & Engineering / General, Intelligence (Ai) & Semantics, Computer Science
Type: Textbook
Item Weight: 144.7 Oz
Author: Reiner Hähnle
Subject Area: Computers
Item Length: 9.3 in
Series: Lecture Notes in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback
