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When 150% is too much: supporting product centric viewpoints in an industrial product line

Published: 16 September 2016 Publication History

Abstract

Use of product lines promises easier production of varying products from a common base using the concepts of variation points and binding of these. This paper describes a successful industrial application of product line concepts based on the superset approach (aka 150%), where the success provided strong improvements in many aspects (e.g. product quality, amount of code to be maintained, time to delivery of new variants) but also introduced new challenges in the production of certain required product assets such as documentation or source code. We focus on the latter in this paper. We'll discuss the challenges which arose in the industrial use case from using the 150% superset approach with standard engineering programming languages and workflows and how the challenges have been solved. We evaluate our approach in a real industrial product line setting and the results show the effectiveness as well as the efficiency of the realized solution.

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Janet Feigenspan, Michael Schulze, Maria Papendieck, Christian Kästner, Raimund Dachselt, Veit Köppen, and Mathias Frisch. Using Background Colors to Support Program Comprehension in Software Product Lines. In International Conference on Evaluation and Assessment in Software Engineering (EASE). Institution of Engineering and Technology, April 2011. Submitted 10.01.2011, Accepted 07.02.2011.
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Christian Kästner, Sven Apel, and Martin Kuhlemann. Granularity in software product lines. page 311. ACM Press, 2008.
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Michael Schulze and Robert Hellebrand. Variability Exchange Language - A Generic Exchange Format for Variability Data. In Software Engineering (Workshops), pages 37--46, Dresden, Germany, March 2015.

Cited By

View all
  • (2024)Modular language product lines: concept, tool and analysisSoftware and Systems Modeling10.1007/s10270-024-01179-9Online publication date: 28-May-2024
  • (2023)Modularization Technique to Support Software Variability in Cyber-Physical Production SystemsProceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3571788.3571800(71-76)Online publication date: 25-Jan-2023
  • (2023)Annotative Software Product Line Analysis Using Variability-Aware DatalogIEEE Transactions on Software Engineering10.1109/TSE.2022.317575249:3(1323-1341)Online publication date: 1-Mar-2023
  • Show More Cited By

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Published In

cover image ACM Other conferences
SPLC '16: Proceedings of the 20th International Systems and Software Product Line Conference
September 2016
367 pages
ISBN:9781450340502
DOI:10.1145/2934466
  • General Chair:
  • Hong Mei
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

  • Huawei Technologies Co. Ltd.: Huawei Technologies Co. Ltd.
  • Key Laboratory of High Confidence Software Technologies: Key Laboratory of High Confidence Software Technologies, Ministry of Education
  • DC Holdings: Digital China Holdings Limited

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2016

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Author Tags

  1. industry use case
  2. product lines
  3. transformation
  4. variant management

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  • Research-article

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SPLC '16
Sponsor:
  • Huawei Technologies Co. Ltd.
  • Key Laboratory of High Confidence Software Technologies
  • DC Holdings

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Overall Acceptance Rate 167 of 463 submissions, 36%

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Cited By

View all
  • (2024)Modular language product lines: concept, tool and analysisSoftware and Systems Modeling10.1007/s10270-024-01179-9Online publication date: 28-May-2024
  • (2023)Modularization Technique to Support Software Variability in Cyber-Physical Production SystemsProceedings of the 17th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3571788.3571800(71-76)Online publication date: 25-Jan-2023
  • (2023)Annotative Software Product Line Analysis Using Variability-Aware DatalogIEEE Transactions on Software Engineering10.1109/TSE.2022.317575249:3(1323-1341)Online publication date: 1-Mar-2023
  • (2023)Applying declarative analysis to industrial automotive software product line modelsEmpirical Software Engineering10.1007/s10664-023-10290-228:2Online publication date: 4-Feb-2023
  • (2021)A variability modeling and transformation approach for safety-critical systemsProceedings of the 15th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3442391.3442398(1-7)Online publication date: 9-Feb-2021
  • (2021)Learning by sampling: learning behavioral family models from software product linesEmpirical Software Engineering10.1007/s10664-020-09912-w26:1Online publication date: 1-Jan-2021
  • (2020)An Approach to Support Variant Management on Safety Analysis using CHESS Error Models2020 16th European Dependable Computing Conference (EDCC)10.1109/EDCC51268.2020.00030(135-142)Online publication date: Sep-2020
  • (2020)An Integrated Approach to Support the Process-Based Certification of Variant-Intensive SystemsModel-Based Safety and Assessment10.1007/978-3-030-58920-2_12(179-193)Online publication date: 4-Sep-2020
  • (2019)An integrated model-based tool chain for managing variability in complex system designProceedings of the 22nd International Conference on Model Driven Engineering Languages and Systems Companion10.1109/MODELS-C.2019.00045(288-293)Online publication date: 15-Sep-2019
  • (2019)Opportunities for software reuse in an uncertain worldJournal of Software: Evolution and Process10.1002/smr.221731:8Online publication date: 20-Aug-2019

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