Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Mining Software Engineering Data For Software ReuseISBN13:9783030301088ISBN10:3030301087Author:Diamantopoulos, Themistoklis (Author), Symeonidis, Andreas L. (Author)Description:This Monograph Discusses Software Reuse And How It Can Be Applied At Different Stages Of The Software Development Process, On Different Types Of Data And At Different Levels Of Granularity Several Challenging Hypotheses Are Analyzed And Confronted Using Novel Data-Driven Methodologies, In Order To Solve Problems In Requirements Elicitation And Specification Extraction, Software Design And Implementation, As Well As Software Quality Assurance The Book Is Accompanied By A Number Of Tools, Libraries And Working Prototypes In Order To Practically Illustrate How The Phases Of The Software Engineering Life Cycle Can Benefit From Unlocking The Potential Of Data Software Engineering Researchers, Experts, And Practitioners Can Benefit From The Various Methodologies Presented And Can Better Understand How Knowledge Extracted From Software Data Residing In Various Repositories Can Be Combined And Used To Enable Effective Decision Making And Save Considerable Time And Effort Through Software Reuse Mining Software Engineering Data For Software Reuse Can Also Prove Handy For Graduate-Level Students In Software Engineering Binding:Paperback, PaperbackPublisher:SpringerPublication Date:2021-04-14Weight:0 lbsDimensions:Number of Pages:242Language:English
Price: 112.49 USD
Location: USA
End Time: 2024-11-22T02:31:40.000Z
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Book Title: Mining Software Engineering Data For Software Reuse
Item Length: 9.3in
Item Width: 6.1in
Author: Themistoklis Diamantopoulos, Andreas L. Symeonidis
Publication Name: Mining Software Engineering Data for Software Reuse
Format: Trade Paperback
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2021
Series: Advanced Information and Knowledge Processing Ser.
Type: Textbook
Item Weight: 14.4 Oz
Number of Pages: Xxi, 242 Pages
