rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Systems and Software Variability Management
    sub title: Concepts, Tools and Experiences
  name:
    name part: Capilla, Rafael.
    role:
      role term: editor.
  name:
    name part: Bosch, Jan.
    role:
      role term: editor.
  name:
    name part: Kang, Kyo-Chul.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 317 p. online resource.
  abstract: The success of product line engineering techniques in the last 15 years has popularized the use of software variability as a key modeling approach for describing the commonality and variability of systems at all stages of the software lifecycle. Software product lines enable a family of products to share a common core platform, while allowing for product specific functionality being built on top of the platform. Many companies have exploited the concept of software product lines to increase the resources that focus on highly differentiating functionality and thus improve their competitiveness with higher quality and reusable products and decreasing the time-to-market condition. Many books on product line engineering either introduce specific product line techniques or include brief summaries of industrial cases. From these sources, it is difficult to gain a comprehensive understanding of the various dimensions and aspects of software variability. Here the editors address this gap by providing a comprehensive reference on the notion of variability modeling in the context of software product line engineering, presenting an overview of the techniques proposed for variability modeling and giving a detailed perspective on software variability management. Their book is organized in four main parts, which guide the reader through the various aspects and dimensions of software variability. Part 1 which is mostly written by the editors themselves introduces the major topics related to software variability modeling, thus providing a multi-faceted view of both technological and management issues. Next, part 2 of the book comprises four separate chapters dedicated to research and commercial tools. Part 3 then continues with the most practical viewpoint of the book presenting three different industry cases on how variability is managed in real industry projects. Finally, part 4 concludes the book and encompasses six different chapters on emerging research topics in software vari…
  table of contents: Part I Variability Management -- Software Product Line Engineering -- Variability Modeling -- Variability Scope -- Binding Time and Evolution -- Variability Implementation -- Variability Realization Techniques and Product Derivation -- Visualizing Software Variability -- Variability in the Software Product Line Lifecycle -- Part II Research and Commercial Tools -- COVAMOF -- PLUM - Product Line Unified Modeller Tool -- FaMa -- pure::variants -- Part III Industry Experiences -- Philips Healthcare Compositional Diversity Case -- Variability in Power Plan Control Software -- Second Generation Product Line Engineering - A Case Study at General Motors -- Part IV Emerging and Research Topics in Software Variability -- Dynamic Software Product Lines -- Variability in Autonomic Computing -- Variability in Web services -- Service-Oriented Product Lines -- Software Variability and Design decisions -- Variability and Aspect Orientation.
  note: edited by Rafael Capilla, Jan Bosch, Kyo-Chul Kang.
  subject:
    topic: Computer science
  subject:
    topic: Software engineering
  subject:
    topic: Management information systems
  subject:
    topic: Computer Science
  subject:
    topic: Software Engineering
  subject:
    topic: Management of Computing and Information Systems
  classification: QA76.758
  classification: 005.1
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642365836
  identifier: http://dx.doi.org/10.1007/978-3-642-36583-6
  record info:
    record creation date: 130612
    record change date: 20151204143110.0
    record identifier: 978-3-642-36583-6