research-article

EPM: a prototype tool for variability management in component hierarchies

Authors:

Helko GlatheAuthors Info & Claims

SPLC '12: Proceedings of the 16th International Software Product Line Conference - Volume 2

Pages 246 - 249

https://doi.org/10.1145/2364412.2364455

Published: 02 September 2012 Publication History

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Abstract

EPM is a prototypical research tool that combines traditional component modeling means with a comprehensive variability management support. In addition to ordinary containment hierarchies of components, the tool provides a few selected system modeling and product management capabilities, e.g. separate modeling of the system's software and hardware architecture and an end-customer / marketing-oriented view on the system's variability. In this article we present EPM and briefly describe its main functionality.

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Cited By

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Pol’la MBuccella ACechich A(2020)Analysis of variability models: a systematic literature reviewSoftware and Systems Modeling10.1007/s10270-020-00839-wOnline publication date: 22-Nov-2020
https://doi.org/10.1007/s10270-020-00839-w
Brugali DHochgeschwender N(2017)Managing the Functional Variability of Robotic Perception Systems2017 First IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2017.20(277-283)Online publication date: Apr-2017
https://doi.org/10.1109/IRC.2017.20
Brugali DValota M(2016)Software Variability Composition and Abstraction in Robot Control SystemsComputational Science and Its Applications -- ICCSA 201610.1007/978-3-319-42089-9_26(358-373)Online publication date: 1-Jul-2016
https://doi.org/10.1007/978-3-319-42089-9_26
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Index Terms

EPM: a prototype tool for variability management in component hierarchies
1. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Domain specific languages

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Published In

SPLC '12: Proceedings of the 16th International Software Product Line Conference - Volume 2

September 2012

287 pages

ISBN:9781450310956

DOI:10.1145/2364412

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 September 2012

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Research-article

Funding Sources

Seventh Framework Programme

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SPLC - Vol. II

Sponsor:

Pure-Systems
Petrobras
SEBRAE
FAPESB
INES
IEEE
Software Eng Inst
Biglever
CAPES

SPLC - Vol. II: 16th International Software Product Line Conference

September 2 - 7, 2012

Salvador, Brazil

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Cited By

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Pol’la MBuccella ACechich A(2020)Analysis of variability models: a systematic literature reviewSoftware and Systems Modeling10.1007/s10270-020-00839-wOnline publication date: 22-Nov-2020
https://doi.org/10.1007/s10270-020-00839-w
Brugali DHochgeschwender N(2017)Managing the Functional Variability of Robotic Perception Systems2017 First IEEE International Conference on Robotic Computing (IRC)10.1109/IRC.2017.20(277-283)Online publication date: Apr-2017
https://doi.org/10.1109/IRC.2017.20
Brugali DValota M(2016)Software Variability Composition and Abstraction in Robot Control SystemsComputational Science and Its Applications -- ICCSA 201610.1007/978-3-319-42089-9_26(358-373)Online publication date: 1-Jul-2016
https://doi.org/10.1007/978-3-319-42089-9_26
Brugali DGherardi L(2016)HyperFlex: A Model Driven Toolchain for Designing and Configuring Software Control Systems for Autonomous RobotsRobot Operating System (ROS)10.1007/978-3-319-26054-9_20(509-534)Online publication date: 10-Feb-2016
https://doi.org/10.1007/978-3-319-26054-9_20

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Index Terms

Recommendations

Standardizing variability --- challenges and solutions

Feature-Based Systems and Software Product Line Engineering with Gears from BigLever

Mega-scale product line engineering at General Motors