research-article

Visual guidance for product line configuration using recommendations and non-functional properties

Authors:

Juliana Alves Pereira,

Jabier Martinez,

Hari Kumar Gurudu,

Sebastian Krieter,

Gunter SaakeAuthors Info & Claims

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

Pages 2058 - 2065

https://doi.org/10.1145/3167132.3167353

Published: 09 April 2018 Publication History

Abstract

Software Product Lines (SPLs) are a mature approach for the derivation of a family of products using systematic reuse. Different combinations of predefined features enable tailoring the product to fit the needs of each customer. These needs are related to functional properties of the system (optional features) as well as non-functional properties (e.g., performance or cost of the final product). In industrial scenarios, the configuration process of a final product is complex and the tool support is usually limited to check functional properties interdependencies. In addition, the importance of nonfunctional properties as relevant drivers during configuration has been overlooked. Thus, there is a lack of holistic paradigms integrating recommendation systems and visualizations that can help the decision makers. In this paper, we propose and evaluate an interrelated set of visualizations for the configuration process filling these gaps. We integrate them as part of the FeatureIDE tool and we evaluate its effectiveness, scalability, and performance.

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Cited By

Heß TKarrer SOstheimer L(2024)Multi-Version Decision Propagation for Configuring Feature Models in Space and TimeProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3676550(88-92)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3676550
Horcas JStruber DBurdusel AMartinez JZschaler S(2023) We’re Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration IEEE Transactions on Software Engineering10.1109/TSE.2022.317140449:3(1102-1117)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TSE.2022.3171404
Horcas JGalindo JHeradio RFernandez-Amoros DBenavides D(2023)A Monte Carlo tree search conceptual framework for feature model analysesJournal of Systems and Software10.1016/j.jss.2022.111551195:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.jss.2022.111551
Show More Cited By

Index Terms

Visual guidance for product line configuration using recommendations and non-functional properties
1. Human-centered computing
  1. Visualization
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
      1. Reusability
        Software product lines
  2. Software organization and properties
    1. Extra-functional properties
    2. Software functional properties

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cover image ACM Conferences

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

April 2018

2327 pages

ISBN:9781450351911

DOI:10.1145/3167132

Conference Chairs:
Hisham M. Haddad
Kennesaw State University
,
Roger L. Wainwright
University of Tulsa
,
Richard Chbeir
University of Pau & Pays Adour, France

Copyright © 2018 ACM.

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Published: 09 April 2018

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Cited By

Heß TKarrer SOstheimer L(2024)Multi-Version Decision Propagation for Configuring Feature Models in Space and TimeProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3676550(88-92)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3676550
Horcas JStruber DBurdusel AMartinez JZschaler S(2023) We’re Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration IEEE Transactions on Software Engineering10.1109/TSE.2022.317140449:3(1102-1117)Online publication date: 1-Mar-2023
https://doi.org/10.1109/TSE.2022.3171404
Horcas JGalindo JHeradio RFernandez-Amoros DBenavides D(2023)A Monte Carlo tree search conceptual framework for feature model analysesJournal of Systems and Software10.1016/j.jss.2022.111551195:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.jss.2022.111551
Horcas JPinto MFuentes L(2022)Empirical analysis of the tool support for software product linesSoftware and Systems Modeling10.1007/s10270-022-01011-222:1(377-414)Online publication date: 8-Jun-2022
https://doi.org/10.1007/s10270-022-01011-2
Horcas JGalindo JHeradio RFernandez-Amoros DBenavides DMousavi MSchobbens P(2021)Monte Carlo tree search for feature model analysesProceedings of the 25th ACM International Systems and Software Product Line Conference - Volume A10.1145/3461001.3471146(190-201)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3461001.3471146
Strüber DMukelabai MKrüger JFischer SLinsbauer LMartinez JBerger T(2019)Facing the TruthProceedings of the 23rd International Systems and Software Product Line Conference - Volume A10.1145/3336294.3336302(177-188)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3336294.3336302
Rodas-Silva JGalindo JGarcía-Gutiérrez JBenavides D(2019)RESDECProceedings of the 23rd International Systems and Software Product Line Conference - Volume B10.1145/3307630.3342390(33-36)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3307630.3342390
Heradio RFernandez-Amoros DMayr-Dorn CEgyed AAtlee JBultan TWhittle J(2019)Supporting the statistical analysis of variability modelsProceedings of the 41st International Conference on Software Engineering10.1109/ICSE.2019.00091(843-853)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.1109/ICSE.2019.00091
Rodas-Silva JGalindo JGarcia-Gutierrez JBenavides D(2019)Selection of Software Product Line Implementation Components Using Recommender Systems: An Application to WordpressIEEE Access10.1109/ACCESS.2019.29184697(69226-69245)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2918469
Edded SSassi SMazo RSalinesi CGhezala H(2019)Collaborative configuration approaches in software product lines engineeringJournal of Systems and Software10.1016/j.jss.2019.110422158:COnline publication date: 1-Dec-2019
https://dl.acm.org/doi/10.1016/j.jss.2019.110422
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