Mining Software Specifications: Methodologies and Applications

1st Edition

David Lo, Siau-Cheng Khoo, Jiawei Han, Chao Liu

CRC Press
Published May 24, 2011
Reference - 460 Pages - 149 B/W Illustrations
ISBN 9781439806265 - CAT# K10312
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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  • Summarizes existing and emerging work on specification mining
  • Focuses on mining both finite state machines and temporal rules/patterns of behavior
  • Presents approaches that use static analysis, dynamic analysis, and combinations of the two
  • Offers up-to-date studies from top researchers in the software engineering community
  • Contains case studies of various software systems, including open source programs and those used by Microsoft Research and IBM Research


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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