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Titlebook: Handbook of Re-Engineering Software Intensive Systems into Software Product Lines; Roberto E. Lopez-Herrejon,Jabier Martinez,Silvia V Book

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發(fā)表于 2025-3-21 17:22:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of Re-Engineering Software Intensive Systems into Software Product Lines
編輯Roberto E. Lopez-Herrejon,Jabier Martinez,Silvia V
視頻videohttp://file.papertrans.cn/423/422055/422055.mp4
概述Includes 20 chapters structured in 4 parts.Provides comprehensive compendium of the fundamentals of re-engineering legacy applications.Presents a compilation of knowledge and experiences
圖書封面Titlebook: Handbook of Re-Engineering Software Intensive Systems into Software Product Lines;  Roberto E. Lopez-Herrejon,Jabier Martinez,Silvia V Book
描述.This handbook distils the wealth of expertise and knowledge from a large community of researchers and industrial practitioners in Software Product Lines (SPLs) gained through extensive and rigorous theoretical, empirical, and applied research. It is a timely compilation of well-established and cutting-edge approaches that can be leveraged by those facing the prevailing and daunting challenge of re-engineering their systems into SPLs. The selection of chapters provides readers with a wide and diverse perspective that reflects the complementary and varied expertise of the chapter authors. This perspective covers the re-engineering processes, from planning to execution..SPLs are families of systems that share common assets, allowing a disciplined software reuse.?The adoption of SPL practices has shown to enable significant technical and economic benefits for the companies that employ them. However, successful SPLs rarely start from scratch, but instead, they usually start froma set of existing systems that must undergo well-defined re-engineering processes to unleash new levels of productivity and competitiveness..Practitioners will benefit from the lessons learned by the community,
出版日期Book 2023
關(guān)鍵詞software engineering; software product lines; configurable systems; variability management; reverse engi
版次1
doihttps://doi.org/10.1007/978-3-031-11686-5
isbn_softcover978-3-031-11688-9
isbn_ebook978-3-031-11686-5
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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發(fā)表于 2025-3-21 20:27:38 | 只看該作者
Feature and Variability Extraction from Natural Language Requirementssive discussions with customers about all facets of the software system to be developed, mostly in form of plain text. Hence, if properly done, requirement specifications reflect on all features of a software system as well as how these features depend on each other. Consequently, requirements are a
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發(fā)表于 2025-3-22 01:54:50 | 只看該作者
Semantic History Slicingtroduce a technique called ., to locate features in software version histories. The key insight is that the information embedded in version histories can be used to establish a connection between features and changes implementing the features. We present the formal definitions as well as the general
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Extending Boolean Variability Relationship Extraction to Multi-valued Software Descriptionsty model synthesis. Existing methods are predominantly designed for feature-oriented product lines, where products are described by the set of distinguishable features they implement, and variability information may be expressed by logical relationships over these features. However, limits of such b
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發(fā)表于 2025-3-22 18:44:45 | 只看該作者
Machine Learning for Feature Constraints Discoverys and dependencies, materialized as logical constraints, grows as the number of features increases in an SPL. In particular, it is easy to forget a constraint and thus mistakenly authorizes invalid products. Developers thus struggle to identify and track constraints throughout the engineering of mor
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Extraction and Evolution of a Software Product Line from Existing Web-Based Systemss: (1) to extract commonalities and variabilities from existing use case models of a cloned web-based system; and (2) to refactor and evolve a software product line that addresses the existing web-based systems. We observed several benefits in our study related to a systematic variability management
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