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Title Aspect-oriented, model-driven software product lines : the ample way / edited by Awais Rashid, Jean-Claude Royer, Andreas Rummler.

Publication Info. Cambridge ; New York : Cambridge University Press, 2011.

Item Status

Description 1 online resource (vi, 464 pages) : illustrations
Physical Medium polychrome
Description text file
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"-- Provided by publisher.
Bibliography Includes bibliographical references and index.
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.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Software product line engineering.
Software product line engineering.
Aspect-oriented programming.
Aspect-oriented programming.
Model-driven software architecture.
Model-driven software architecture.
Computer software -- Reusability.
Computer software -- Reusability.
Genre/Form Electronic books.
Added Author Rashid, Awais.
Royer, Jean-Claude.
Rummler, Andreas.
Other Form: Print version: Aspect-oriented, model-driven software product lines. Cambridge ; New York : Cambridge University Press, 2011 9780521767224 (DLC) 2011028095 (OCoLC)714728184
ISBN 9781139127868 (electronic book)
1139127861 (electronic book)
9781139003629 (electronic book)
1139003623 (electronic book)
9781139117203
1139117203
1283296047
9781283296045
9780521767224
0521767229
9781139115032
1139115030
Standard No. 9786613296047