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Item Details
Title: MINING SOFTWARE SPECIFICATIONS
METHODOLOGIES AND APPLICATIONS
By: David Lo (Editor), Khoo Siau Cheng (Editor), Jiawei Han (Editor)
Format: Hardback

List price: £190.00
Our price: £171.00
Discount:
10% off
You save: £19.00
ISBN 10: 1439806268
ISBN 13: 9781439806265
Availability: Usually dispatched within 1-3 weeks.
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Publisher: TAYLOR & FRANCIS INC
Pub. date: 24 May, 2011
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series 17
Pages: 460
Synopsis: An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economies billions of dollars each year. The first unified reference on the subject, Mining Software Specifications: Methodologies and Applications describes recent approaches for mining specifications of software systems. Experts in the field illustrate how to apply state-of-the-art data mining and machine learning techniques to address software engineering concerns. In the first set of chapters, the book introduces a number of studies on mining finite state machines that employ techniques, such as grammar inference, partial order mining, source code model checking, abstract interpretation, and more. The remaining chapters present research on mining temporal rules/patterns, covering techniques that include path-aware static program analyses, lightweight rule/pattern mining, statistical analysis, and other interesting approaches. Throughout the book, the authors discuss how to employ dynamic analysis, static analysis, and combinations of both to mine software specifications.According to the US National Institute of Standards and Technology in 2002, software bugs have cost the US economy 59.5 billion dollars a year. This volume shows how specification mining can help find bugs and improve program understanding, thereby reducing unnecessary financial losses. The book encourages the industry adoption of specification mining techniques and the assimilation of these techniques in standard integrated development environments (IDEs).
Illustrations: 149 black & white illustrations, 25 black & white tables
Publication: US
Imprint: CRC Press Inc
Returns: Returnable
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DATA MINING
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DATA MINING RESTRICTED (PB)
DATA MINING, SECOND EDITION
DATA MINING: CONCEPTS AND TECHNIQUES (HB)
DATA MINING: KNOW IT ALL (HB)
FREQUENT PATTERN MINING (HB)
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GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY
GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY
GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY (HB)
GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY, SECOND EDITION
GEOGRAPHIC DATA MINING AND KNOWLEDGE DISCOVERY, SECOND EDITION
LINK MINING: MODELS, ALGORITHMS, AND APPLICATIONS (HB)
LINK MINING: MODELS, ALGORITHMS, AND APPLICATIONS (PB)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY FOR ENGINEERING SYSTEMS HEALTH MANAGEMENT
MACHINE LEARNING AND KNOWLEDGE DISCOVERY FOR ENGINEERING SYSTEMS HEALTH MANAGEMENT (HB)
MINING HETEROGENEOUS INFORMATION NETWORKS
MINING HETEROGENEOUS INFORMATION NETWORKS (PB)
MINING LATENT ENTITY STRUCTURES
MINING LATENT ENTITY STRUCTURES
MINING LATENT ENTITY STRUCTURES (PB)
MINING SOFTWARE SPECIFICATIONS
MINING STRUCTURES OF FACTUAL KNOWLEDGE FROM TEXT
MINING STRUCTURES OF FACTUAL KNOWLEDGE FROM TEXT (HB)
MINING STRUCTURES OF FACTUAL KNOWLEDGE FROM TEXT (PB)
MULTIDIMENSIONAL MINING OF MASSIVE TEXT DATA
MULTIDIMENSIONAL MINING OF MASSIVE TEXT DATA
MULTIDIMENSIONAL MINING OF MASSIVE TEXT DATA (HB)
NETWORK DATA MINING AND ANALYSIS (HB)
NEXT GENERATION OF DATA MINING
NEXT GENERATION OF DATA MINING (HB)
OUTLIER DETECTION FOR TEMPORAL DATA
PHRASE MINING FROM MASSIVE TEXT AND ITS APPLICATIONS
PHRASE MINING FROM MASSIVE TEXT AND ITS APPLICATIONS
PHRASE MINING FROM MASSIVE TEXT AND ITS APPLICATIONS (PB)
PROCEEDINGS OF THE SECOND SIAM INTERNATIONAL CONFERENCE ON DATA MINING (PB)

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