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The Resource Recommendation systems in software engineering, Martin P. Robillard, Walid Maalej, Robert J. Walker and Thomas Zimmermann, editors

Recommendation systems in software engineering, Martin P. Robillard, Walid Maalej, Robert J. Walker and Thomas Zimmermann, editors

Editor
Contributor
Summary
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data. This book collects, structures, and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: Part I Techniques introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow. Part II Evaluation summarizes methods and experimental designs for evaluating recommendations in software engineering. Part III Applications describes needs, issues, and solution concepts involved in entire recommendation systems for specific software engineering tasks, focusing on the engineering insights required to make effective recommendations. The book is complemented by the webpage rsse.org/book, which includes free supplemental materials for readers of this book and anyone interested in recommendation systems in software engineering, including lecture slides, data sets, source code, and an overview of people, groups, papers, and tools with regard to recommendation systems in software engineering. The book is particularly well-suited for graduate students and researchers building new recommendation systems for software engineering applications or in other high-tech fields. It may also serve as the basis for graduate courses on recommendation systems, applied data mining, or software engineering. Software engineering practitioners developing recommendation systems or similar applications with predictive functionality will also benefit from the broad spectrum of topics covered
Language
eng
Work
Publication
Extent
1 online resource (xiii, 562 pages)
Note
Includes index
Contents
  • 1 An Introduction to Recommendation Systems in Software Engineering
  • Part I Techniques
  • 2 Basic Approaches in Recommendation Systems
  • 3 Data Mining
  • 4 Recommendation Systems in-the-Small
  • 5 Source Code Based Recommendation Systems
  • 6 Mining Bug Data
  • 7 Collecting and Processing Interaction Data for Recommendation Systems
  • 8 Developer Profiles for Recommendation Systems
  • 9 Recommendation Delivery
  • Part II Evaluation
  • 10 Dimensions and Metrics for Evaluating Recommendation Systems
  • 11 Benchmarking
  • 12 Simulation
  • 13 Field Studies
  • Part III Applications
  • 14 Reuse-Oriented Code Recommendation Systems
  • 15 Recommending Refactoring Operations in Large Software Systems
  • 16 Recommending Program Transformations
  • 17 Recommendation Systems in Requirements Discovery
  • 18 Changes, Evolution and Bugs
  • 19 Recommendation Heuristics for Improving Product Line Configuration Processes
Isbn
9783642451362
Instance
Label
Recommendation systems in software engineering
Title
Recommendation systems in software engineering
Statement of responsibility
Martin P. Robillard, Walid Maalej, Robert J. Walker and Thomas Zimmermann, editors
Contributor
Editor
Subject
Language
eng
Summary
With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data. This book collects, structures, and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: Part I Techniques introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow. Part II Evaluation summarizes methods and experimental designs for evaluating recommendations in software engineering. Part III Applications describes needs, issues, and solution concepts involved in entire recommendation systems for specific software engineering tasks, focusing on the engineering insights required to make effective recommendations. The book is complemented by the webpage rsse.org/book, which includes free supplemental materials for readers of this book and anyone interested in recommendation systems in software engineering, including lecture slides, data sets, source code, and an overview of people, groups, papers, and tools with regard to recommendation systems in software engineering. The book is particularly well-suited for graduate students and researchers building new recommendation systems for software engineering applications or in other high-tech fields. It may also serve as the basis for graduate courses on recommendation systems, applied data mining, or software engineering. Software engineering practitioners developing recommendation systems or similar applications with predictive functionality will also benefit from the broad spectrum of topics covered
Cataloging source
GW5XE
Dewey number
005.1
Index
index present
Language note
English
LC call number
QA76.9.I58
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1974-
http://library.link/vocab/relatedWorkOrContributorName
  • Robillard, Martin P.
  • Maalej, Walid
  • Walker, Robert J.
  • Zimmermann, Thomas
http://library.link/vocab/subjectName
  • Recommender systems (Information filtering)
  • Software engineering
  • COMPUTERS
  • COMPUTERS
  • COMPUTERS
  • Recommender systems (Information filtering)
  • Software engineering
  • Software Engineering
  • Empfehlungssystem
Label
Recommendation systems in software engineering, Martin P. Robillard, Walid Maalej, Robert J. Walker and Thomas Zimmermann, editors
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 An Introduction to Recommendation Systems in Software Engineering -- Part I Techniques -- 2 Basic Approaches in Recommendation Systems -- 3 Data Mining -- 4 Recommendation Systems in-the-Small -- 5 Source Code Based Recommendation Systems -- 6 Mining Bug Data -- 7 Collecting and Processing Interaction Data for Recommendation Systems -- 8 Developer Profiles for Recommendation Systems -- 9 Recommendation Delivery -- Part II Evaluation -- 10 Dimensions and Metrics for Evaluating Recommendation Systems -- 11 Benchmarking -- 12 Simulation -- 13 Field Studies -- Part III Applications -- 14 Reuse-Oriented Code Recommendation Systems -- 15 Recommending Refactoring Operations in Large Software Systems -- 16 Recommending Program Transformations -- 17 Recommendation Systems in Requirements Discovery -- 18 Changes, Evolution and Bugs -- 19 Recommendation Heuristics for Improving Product Line Configuration Processes
Control code
879326692
Dimensions
unknown
Extent
1 online resource (xiii, 562 pages)
File format
unknown
Form of item
online
Isbn
9783642451362
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-45135-5
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)879326692
Label
Recommendation systems in software engineering, Martin P. Robillard, Walid Maalej, Robert J. Walker and Thomas Zimmermann, editors
Publication
Note
Includes index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1 An Introduction to Recommendation Systems in Software Engineering -- Part I Techniques -- 2 Basic Approaches in Recommendation Systems -- 3 Data Mining -- 4 Recommendation Systems in-the-Small -- 5 Source Code Based Recommendation Systems -- 6 Mining Bug Data -- 7 Collecting and Processing Interaction Data for Recommendation Systems -- 8 Developer Profiles for Recommendation Systems -- 9 Recommendation Delivery -- Part II Evaluation -- 10 Dimensions and Metrics for Evaluating Recommendation Systems -- 11 Benchmarking -- 12 Simulation -- 13 Field Studies -- Part III Applications -- 14 Reuse-Oriented Code Recommendation Systems -- 15 Recommending Refactoring Operations in Large Software Systems -- 16 Recommending Program Transformations -- 17 Recommendation Systems in Requirements Discovery -- 18 Changes, Evolution and Bugs -- 19 Recommendation Heuristics for Improving Product Line Configuration Processes
Control code
879326692
Dimensions
unknown
Extent
1 online resource (xiii, 562 pages)
File format
unknown
Form of item
online
Isbn
9783642451362
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-45135-5
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)879326692

Subject

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      38.944491 -92.326012
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      38.946102 -92.330125

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