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Recommendation Systems in Software Engineering by Martin P. Robillard (English)
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eBay item number:364699149869
Item specifics
- Condition
- ISBN-13
- 9783642451348
- Book Title
- Recommendation Systems in Software Engineering
- ISBN
- 9783642451348
- Publication Year
- 2014
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Recommendation Systems in Software Engineering
- Item Length
- 9.3in
- Publisher
- Springer Berlin / Heidelberg
- Item Width
- 6.1in
- Item Weight
- 346.1 Oz
- Number of Pages
- Xiii, 562 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3642451349
ISBN-13
9783642451348
eBay Product ID (ePID)
176376925
Product Key Features
Publication Name
Recommendation Systems in Software Engineering
Format
Hardcover
Language
English
Publication Year
2014
Type
Textbook
Number of Pages
Xiii, 562 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
346.1 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Qa76.758
Reviews
" The book is a perfect starting point of study for graduate students of software engineering, especially when specializing in recommendation. It is highly recommended also to software professionals seeking to learn what are the possible future directions of their professional field. The book is impressive. [...] I highly recommend this book to software engineering students, professionals, experts, and other interested readers." P. Navrat, ACM Computing Reviews, November 2014, " The book is a perfect starting point of study for graduate students of software engineering, especially when specializing in recommendation. It is highly recommended also to software professionals seeking to learn what are the possible future directions of their professional field. The book is impressive. [...] I highly recommend this book to software engineering students, professionals, experts, and other interested readers." P. Navrat, ACM Computing Reviews, November 2014
Table of Content
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.
Copyright Date
2014
Topic
Software Development & Engineering / General, Management Information Systems, System Administration / Storage & Retrieval
Lccn
2014-931203
Dewey Decimal
005.1
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Computers
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