research-article

Knowledge evolution in autonomic software product lines

Authors:

Jesper Andersson,

Danny WeynsAuthors Info & Claims

SPLC '11: Proceedings of the 15th International Software Product Line Conference, Volume 2

Article No.: 36, Pages 1 - 8

https://doi.org/10.1145/2019136.2019177

Published: 21 August 2011 Publication History

Abstract

We describe ongoing work in knowledge evolution management for autonomic software product lines. We explore how an autonomic product line may benefit from new knowledge originating from different source activities and artifacts at run time. The motivation for sharing run-time knowledge is that products may self-optimize at run time and thus improve quality faster compared to traditional software product line evolution. We propose two mechanisms that support knowledge evolution in product lines: online learning and knowledge sharing. We describe two basic scenarios for runtime knowledge evolution that involves these mechanisms. We evaluate online learning and knowledge sharing in a small product line setting that shows promising results.

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Cited By

Chugh M(2022)A Deep Drive into Knowledge Management for Improving Software Process and Product: Visions and Research DirectionsProceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication10.1007/978-981-19-2828-4_2(21-30)Online publication date: 18-Sep-2022
https://doi.org/10.1007/978-981-19-2828-4_2
Tripathi VSingh M(2021) An efficient metrics based self‐adaptive design model by multiobjective gray wolf optimization with extreme learning machine for autonomic computing system application Concurrency and Computation: Practice and Experience10.1002/cpe.660934:4Online publication date: 12-Oct-2021
https://doi.org/10.1002/cpe.6609
Voorhees DVoorhees D(2020)Introduction to Software DesignGuide to Efficient Software Design10.1007/978-3-030-28501-2_1(1-15)Online publication date: 2-Jan-2020
https://doi.org/10.1007/978-3-030-28501-2_1
Show More Cited By

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Knowledge evolution in autonomic software product lines

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cover image ACM Other conferences

SPLC '11: Proceedings of the 15th International Software Product Line Conference, Volume 2

August 2011

306 pages

ISBN:9781450307895

DOI:10.1145/2019136

Copyright © 2011 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]

Sponsors

Pure-Systems: Pure-Systems GmbH
Hitachi
Siemens
Software Eng Inst: Software Engineering Institute
Biglever: BigLever Software, Inc.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 August 2011

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SPLC '11

Sponsor:

Pure-Systems
Software Eng Inst
Biglever

SPLC '11: The 2011 Software Product Line Conference

August 21 - 26, 2011

Munich, Germany

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Overall Acceptance Rate 167 of 463 submissions, 36%

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Cited By

Chugh M(2022)A Deep Drive into Knowledge Management for Improving Software Process and Product: Visions and Research DirectionsProceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication10.1007/978-981-19-2828-4_2(21-30)Online publication date: 18-Sep-2022
https://doi.org/10.1007/978-981-19-2828-4_2
Tripathi VSingh M(2021) An efficient metrics based self‐adaptive design model by multiobjective gray wolf optimization with extreme learning machine for autonomic computing system application Concurrency and Computation: Practice and Experience10.1002/cpe.660934:4Online publication date: 12-Oct-2021
https://doi.org/10.1002/cpe.6609
Voorhees DVoorhees D(2020)Introduction to Software DesignGuide to Efficient Software Design10.1007/978-3-030-28501-2_1(1-15)Online publication date: 2-Jan-2020
https://doi.org/10.1007/978-3-030-28501-2_1
Filieri AMaggio MAngelopoulos KD’ippolito NGerostathopoulos IHempel AHoffmann HJamshidi PKalyvianaki EKlein CKrikava FMisailovic SPapadopoulos ARay SSharifloo AShevtsov SUjma MVogel T(2017)Control Strategies for Self-Adaptive Software SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/302418811:4(1-31)Online publication date: 3-Feb-2017
https://dl.acm.org/doi/10.1145/3024188
Khiari BJilani L(2017)Towards a DSPL for Context Aware BPM2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA.2017.79(12-18)Online publication date: Oct-2017
https://doi.org/10.1109/AICCSA.2017.79
Abbas NAndersson JSchmidt D(2015)Harnessing variability in product-lines of self-adaptive software systemsProceedings of the 19th International Conference on Software Product Line10.1145/2791060.2791089(191-200)Online publication date: 20-Jul-2015
https://dl.acm.org/doi/10.1145/2791060.2791089
Jamwal VMeda H(2014)Variability Management in Information Intensive ServicesProceedings of the 2014 Annual SRII Global Conference10.1109/SRII.2014.20(65-81)Online publication date: 23-Apr-2014
https://dl.acm.org/doi/10.1109/SRII.2014.20
Bencomo NHallsteinsen SAlmeida E(2012)A View of the Dynamic Software Product Line LandscapeComputer10.1109/MC.2012.29245:10(36-41)Online publication date: 1-Oct-2012
https://dl.acm.org/doi/10.1109/MC.2012.292

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