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Downstream (Hardcover)
David L O'Hara, Matthew T Dickerson; Foreword by Nick Lyons
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R839
R694
Discovery Miles 6 940
Save R145 (17%)
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Ships in 10 - 15 working days
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Online social networking sites like Facebook, LinkedIn, and
Twitter, offer millions of members the opportunity to befriend one
another, send messages to each other, and post content on the site
- actions which generate mind-boggling amounts of data every day.To
make sense of the massive data from these sites, we resort to
social media mining to answer questions like the following:
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).
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Downstream (Paperback)
David L O'Hara, Matthew T Dickerson; Foreword by Nick Lyons
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R482
R401
Discovery Miles 4 010
Save R81 (17%)
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Ships in 10 - 15 working days
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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).
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