Central Library

Machine Learning for Dynamic Software Analysis: Potentials and Limits (Record no. 87530)

000 -LEADER
fixed length control field 03656nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-319-96562-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730171336.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180720s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319965628
-- 978-3-319-96562-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-319-96562-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.758
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMZ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM051230
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMZ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1
Edition number 23
245 10 - TITLE STATEMENT
Title Machine Learning for Dynamic Software Analysis: Potentials and Limits
Medium [electronic resource] :
Remainder of title International Dagstuhl Seminar 16172, Dagstuhl Castle, Germany, April 24-27, 2016, Revised Papers /
Statement of responsibility, etc. edited by Amel Bennaceur, Reiner Hähnle, Karl Meinke.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2018.
300 ## - PHYSICAL DESCRIPTION
Extent IX, 257 p. 38 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Programming and Software Engineering,
International Standard Serial Number 2945-9168 ;
Volume/sequential designation 11026
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Testing and Learning -- Extensions of Automata Learning -- Integrative Approaches.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Software engineering.
9 (RLIN) 4138
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science.
9 (RLIN) 9832
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Software Engineering.
9 (RLIN) 4138
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theory of Computation.
9 (RLIN) 98148
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bennaceur, Amel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 98149
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hähnle, Reiner.
Relator term editor.
Authority record control number or standard number (orcid)
Real World Object URI 0000-0001-8000-7613
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 98150
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Meinke, Karl.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 98151
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 98152
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319965611
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783319965635
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Programming and Software Engineering,
International Standard Serial Number 2945-9168 ;
Volume/sequential designation 11026
9 (RLIN) 98153
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-319-96562-8">https://doi.org/10.1007/978-3-319-96562-8</a>
912 ## -
-- ZDB-2-SCS
912 ## -
-- ZDB-2-SXCS
912 ## -
-- ZDB-2-LNC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-Lecture Notes in CS

No items available.