Mining Software Specifications (Hardcover)

Sprache: Englisch

Verlag: Taylor & Francis Inc, Bosa Roca, 2011

1439806268 / 9781439806265

Serie: Buch 22 von 56 - Chapman & Hall/CRC Data Mining and Knowledge Discovery

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Artikelbeschreibung des Verkäufers

Hardcover. 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). 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). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Bestandsnummer des Verkäufers 9781439806265

Titel
Mining Software Specifications (Hardcover)
Autor
David Lo
Verlag
Taylor & Francis Inc, Bosa Roca
Erscheinungsjahr
2011
Zustand
new
Einband
Hardcover
Sprache
Englisch
ISBN-10
1439806268
ISBN-13
9781439806265
Serie
Buch 22 von 56: Chapman & Hall/CRC Data Mining and Knowledge Discovery

AussieBookSeller

Truganina, VIC, Australien

Verkäufer/-in mit 5 Sternen

Verkäufer:in bei AbeBooks seit 22. Juni 2007

Versandkosten von Australien nach USA

Artikel25 bis 45 Werktage8 bis 14 Werktage
Erster ArtikelEUR 33,05EUR 39,30
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