Description

Book Synopsis
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.

Table of Contents
Introduction to Machine Learning and Software Engineering; ML Applications in Prediction and Estimation; ML Applications in Property and Model Discovery; ML Applications in Transformation; ML Applications in Generation and Synthesis; ML Applications in Reuse; ML Applications in Requirement Acquisition; ML Applications in Management of Development Knowledge

Machine Learning Applications In Software

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    A Hardback by Du Zhang, Jeffrey J P Tsai

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      Book details

      Publisher World Scientific Publishing Co Pte Ltd
      Published 22 February 2005
      ISBN-13 9789812560940
      978-9812560940
      ISBN-10 9812560947

      Description

      Book Synopsis
      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.

      Table of Contents
      Introduction to Machine Learning and Software Engineering; ML Applications in Prediction and Estimation; ML Applications in Property and Model Discovery; ML Applications in Transformation; ML Applications in Generation and Synthesis; ML Applications in Reuse; ML Applications in Requirement Acquisition; ML Applications in Management of Development Knowledge

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