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03614nam a22004457a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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CUTN |
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20250703101400.0 |
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250703b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781591409410 |
| 041 ## - LANGUAGE CODE |
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| Language |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Edition number |
22 |
| Classification number |
005.1 |
| Item number |
ZHA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Zhang, Du. |
| 245 ## - TITLE STATEMENT |
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| Title |
Advances in machine learning applications in software engineering/ |
| Statement of responsibility, etc |
Du Zhang and Jeffery J.P. Tsai |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
United States: |
| Name of publisher, distributor, etc |
Idea Group Publishing, |
| Date of publication, distribution, etc |
2007. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xv, 480 p. : |
| Dimensions |
24 cm. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Section I: Data Analysis and Refinement<br/>Chapter I<br/><br/> |
| Title |
A Two-Stage Zone Regression Method for Global Characterization of a Project<br/>Database |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter II<br/> |
| Title |
Intelligent Analysis of Software Maintenance Data |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter III<br/> |
| Title |
Improving Credibility of Machine Learner Models in Software Engineering |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter IV<br/> |
| Title |
ILP Applications to Software Engineering |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter V |
| Title |
MMIR: An Advanced Content-Based Image Retrieval System Using a<br/>Hierarchical Learning Framework |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter VI<br/> |
| Title |
A Genetic Algorithm-Based QoS Analysis Tool for Reconfigurable<br/>Service-Oriented Systems |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Section II: Applications to Software Development<br/>Chapter IV |
| Title |
ILP Applications to Software Engineering. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter V<br/> |
| Title |
MMIR: An Advanced Content-Based Image Retrieval System Using a<br/>Hierarchical Learning Framework |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter VI<br/> |
| Title |
A Genetic Algorithm-Based QoS Analysis Tool for Reconfigurable<br/>Service-Oriented Systems |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Section III: Predictive Models for Software Quality and Relevancy<br/>Chapter VII<br/> |
| Title |
Fuzzy Logic Classifiers and Models in Quantitative Software Engineering |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter VIII<br/> |
| Title |
Modeling Relevance Relations Using Machine Learning Techniques. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter IX<br/> |
| Title |
A Practical Software Quality Classification Model Using Genetic<br/>Programming.. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter X<br/> |
| Title |
A Statistical Framework for the Prediction of Fault-Proneness.. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter XI<br/> |
| Title |
Applying Rule Induction in Software Prediction |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter XII<br/> |
| Title |
Application of Genetic Algorithms in Software Testing |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Section V: Areas of Future Work<br/>Chapter XIII<br/> |
| Title |
Formal Methods for Specifying and Analyzing Complex Software Systems. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter XIV<br/> |
| Title |
Practical Considerations in Automatic Code Generation |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter XV<br/> |
| Title |
DPSSEE: A Distributed Proactive Semantic Software Engineering<br/>Environment |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Contents |
Chapter XVI<br/> |
| Title |
Adding Context into an Access Control Model for Computer Security Policy |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Machine learning is the study of building computer programs that improve their performance through experience. To meet the challenge of developing and maintaining larger and complex software systems in a dynamic and changing environment, machine learning methods have been playing an increasingly important role in many software development and maintenance tasks.<br/><br/>Advances in Machine Learning Applications in Software Engineering provides analysis, characterization, and refinement of software engineering data in terms of machine learning methods. This book depicts applications of several machine learning approaches in software systems development and deployment, and the use of machine learning methods to establish predictive models for software quality. Advances in Machine Learning Applications in Software Engineering offers readers direction for future work in this emerging research field.<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Machine Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Software Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Tsai, Jeffery J.P. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
General Books |
