Aspect-oriented, model-driven software product lines : the ample way /

Aspect-oriented, model-driven software product lines : the ample way /

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Bibliographic Details
Imprint:Cambridge ; New York : Cambridge University Press, 2011.
Description:1 online resource (vi, 464 pages) : illustrations
Language:English
Subject:
Software product line engineering.
Aspect-oriented programming.
Model-driven software architecture.
Computer software -- Reusability.
Aspect-oriented programming.
Computer software -- Reusability.
Model-driven software architecture.
Software product line engineering.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11830352
Hidden Bibliographic Details
Other authors / contributors:Rashid, Awais.
Royer, Jean-Claude.
Rummler, Andreas.
ISBN:9781139127868
1139127861
9781139003629
1139003623
9781139117203
1139117203
1283296047
9781283296045
1107217687
9781107217683
1139124560
9781139124560
1139122940
9781139122948
9786613296047
661329604X
1139112848
9781139112840
9780521767224
0521767229
9781139115032
1139115030
Notes:Includes bibliographical references and index.
English.
Print version record.
Summary:"Software product lines provide a systematic means of managing variability in a suite of products. They have many benefits but there are three major barriers that can prevent them from reaching their full potential. First, there is the challenge of scale: a large number of variants may exist in a product line context and the number of interrelationships and dependencies can rise exponentially. Second, variations tend to be systemic by nature in that they affect the whole architecture of the software product line. Third, software product lines often serve different business contexts, each with its own intricacies and complexities. The AMPLE (http://www.ample-project.net/) approach tackles these three challenges by combining advances in aspect-oriented software development and model-driven engineering. The full suite of methods and tools that constitute this approach are discussed in detail in this edited volume and illustrated using three real-world industrial case studies"--
Other form:Print version: Aspect-oriented, model-driven software product lines. Cambridge ; New York : Cambridge University Press, 2011 9780521767224
Standard no.:9786613296047
Table of Contents:
  • Introduction / Awais Rashid, Jean-Claude Royer and Andreas Rummler
  • Case studies for software product line engineering / Andreas Rummler, Ludger Fiege, Catarina Gomes, and Rita Ribiero
  • From requirements to feature models / Nathan Weston and Phil Greenwood
  • Variability management / Steffen Zschaler, Pablo Sánchez, João Santos, Mauricio Alférez, Ana Moreira, João Araújo, Uirá Kulesza, and Lidia Fuentes
  • Hybrid assessment method for software product line / Afonso Pimentel, Rita Ribeiro, Ana Moreira, João Araújo, João Santos, António Costa, Mauricio Alférez, and Uirá Kulesza
  • Product line implementation with ECaesarJ / Vaidas Gasiunas, Angel Nunez, Jacques Noye, and Mira Mezini
  • Model-driven engineering support for product line engineering / Christoph Elsner, Iris Groher, Ludger Fiege, and Markus Völter
  • Managing information flow in SPL development processes / Nicolas Anquetil, Uira Kulesza, Ricardo Mateus, Ralf Mitschke, Ana Moreira, Jean-Claude Royer, and Andreas Rummler
  • Using design rationale to improve SPL traceability / Ismênia Galvão, Mehmet Aksit, Pim van den Broek, and Michiel Hendriks
  • Product-driven software product line engineering / Steffen Zschaler, Pablo Sánchez, Carlos Nebrera, Lidia Fuentes, Vaidas Gasiunas, and Ludger Fiege
  • Solution-driven software product line engineering / Iris Groher, Ludger Fiege, Christoph Elsner, Christa Schwanninger, and Markus Völter
  • Dynamic variability in adaptive systems / Ruzanna Chitchyan, Brice Morin, Franck Fleurey, Nelly Bencomo, Arnor Solberg, and Thomas Genssler
  • Imperfect information in software product line engineering / Joost Noppen and Pim van den Broek
  • Empirical research in software product line engineering / Phil Greenwood, Vander Alves, John Hutchinson, Christa Schwanninger, and Nicolas Anquetil.

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