research-article

Variability Management for a Runtime Monitoring Infrastructure

Authors:

Michael Vierhauser,

Paul GrünbacherAuthors Info & Claims

VaMoS '15: Proceedings of the 9th International Workshop on Variability Modelling of Software-Intensive Systems

Pages 35 - 42

https://doi.org/10.1145/2701319.2701330

Published: 21 January 2015 Publication History

Abstract

Many software systems today are systems of systems (SoS), which are difficult to analyze due to their size, complexity, heterogeneity, and variability. For instance, unexpected behavior of SoS is often caused by the complex interactions between the involved systems and their environment at runtime. Monitoring infrastructures (MIs) provide support for engineers and support staff analyzing the behavior of SoS during development and operation. Variability plays an important role in MIs, however, while some approaches exist, managing variability of MIs remains challenging. In this paper, we describe how we applied a variability management approach to support the reconfiguration of a SoS monitoring infrastructure (MI) at runtime. Our approach provides configuration support for setting up the MI to reflect system variability. It also supports runtime reconfiguration of the MI to reflect the different monitoring tasks of users and to support evolution. We motivate our work using the case of monitoring a real-world SoS from the domain of industrial automation and discuss variability-related challenges in four monitoring scenarios. We evaluate the feasibility of our approach by applying it to these scenarios. We also demonstrate that our approach reduces manual reconfiguration effort and helps to reduce the overhead of the MI.

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Cited By

Quinton CVierhauser MRabiser RBaresi LGrünbacher PSchuhmayer C(2020)Evolution in dynamic software product linesJournal of Software: Evolution and Process10.1002/smr.2293Online publication date: 19-Jun-2020
https://doi.org/10.1002/smr.2293
Rabiser RThanhofer-Pilisch JVierhauser MGrünbacher PEgyed A(2018)Developing and evolving a DSL-based approach for runtime monitoring of systems of systemsAutomated Software Engineering10.1007/s10515-018-0241-x25:4(875-915)Online publication date: 5-Jul-2018
https://doi.org/10.1007/s10515-018-0241-x
Thanhofer-Pilisch JVierhauser MRabiser RGrünbacher P(2016)Event capture and compare for runtime monitoring of systems of systemsProceedings of the 1st International Workshop on Variability and Complexity in Software Design10.1145/2897045.2897046(1-4)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2897045.2897046
Show More Cited By

Index Terms

Variability Management for a Runtime Monitoring Infrastructure
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
  2. Software notations and tools
    1. Software libraries and repositories

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Published In

cover image ACM Other conferences

VaMoS '15: Proceedings of the 9th International Workshop on Variability Modelling of Software-Intensive Systems

January 2015

127 pages

ISBN:9781450332736

DOI:10.1145/2701319

General Chair:
Klaus Schmid
University of Hildesheim, Germany
,
Program Chairs:
Øystein Haugen
SINTEF, Norway
,
Johannes Müller
Bosch SI, Germany

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 21 January 2015

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VaMoS '15

VaMoS '15: The Ninth International Workshop on Variability Modelling of Software-intensive Systems

January 21 - 23, 2015

Hildesheim, Germany

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VaMoS '15 Paper Acceptance Rate 16 of 34 submissions, 47%;

Overall Acceptance Rate 66 of 147 submissions, 45%

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Cited By

Quinton CVierhauser MRabiser RBaresi LGrünbacher PSchuhmayer C(2020)Evolution in dynamic software product linesJournal of Software: Evolution and Process10.1002/smr.2293Online publication date: 19-Jun-2020
https://doi.org/10.1002/smr.2293
Rabiser RThanhofer-Pilisch JVierhauser MGrünbacher PEgyed A(2018)Developing and evolving a DSL-based approach for runtime monitoring of systems of systemsAutomated Software Engineering10.1007/s10515-018-0241-x25:4(875-915)Online publication date: 5-Jul-2018
https://doi.org/10.1007/s10515-018-0241-x
Thanhofer-Pilisch JVierhauser MRabiser RGrünbacher P(2016)Event capture and compare for runtime monitoring of systems of systemsProceedings of the 1st International Workshop on Variability and Complexity in Software Design10.1145/2897045.2897046(1-4)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2897045.2897046
Quinton CRabiser RVierhauser MGrünbacher PBaresi LSchmidt D(2015)Evolution in dynamic software product linesProceedings of the 19th International Conference on Software Product Line10.1145/2791060.2791101(126-130)Online publication date: 20-Jul-2015
https://dl.acm.org/doi/10.1145/2791060.2791101
Vierhauser MRabiser RGrunbacher PAumayr B(2015)A requirements monitoring model for systems of systems2015 IEEE 23rd International Requirements Engineering Conference (RE)10.1109/RE.2015.7320412(96-105)Online publication date: Aug-2015
https://doi.org/10.1109/RE.2015.7320412
Vierhauser MRabiser RGrünbacher PThanhofer-Pilisch JCohen MGrunske LWhalen M(2015)The ReMinds tool suite for runtime monitoring of systems of systemsProceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE.2015.91(777-782)Online publication date: 9-Nov-2015
https://dl.acm.org/doi/10.1109/ASE.2015.91
Vierhauser MRabiser RGrünbacher PEgyed ACohen MGrunske LWhalen M(2015)Developing a DSL-based approach for event-based monitoring of systems of systemsProceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE.2015.25(715-725)Online publication date: 9-Nov-2015
https://dl.acm.org/doi/10.1109/ASE.2015.25

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