Machine learning deals with the issue of how to build computer
programs that improve their performance at some tasks through
experience. Machine learning algorithms have proven to be of great
practical value in a variety of application domains. Not
surprisingly, the field of software engineering turns out to be a
fertile ground where many software development and maintenance
tasks could be formulated as learning problems and approached in
terms of learning algorithms. This book deals with the subject of
machine learning applications in software engineering. It provides
an overview of machine learning, summarizes the
state-of-the-practice in this niche area, gives a classification of
the existing work, and offers some application guidelines. Also
included in the book is a collection of previously published papers
in this research area.
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