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An Empirical Study of Two Software Product Line Tools

Published: 27 April 2016 Publication History

Abstract

In the last decades, software product lines (SPL) have proven to be an efficient software development technique in industries due its capability to increase quality and productivity and decrease cost and time-to-market through extensive reuse of software artifacts. To achieve these benefits, tool support is fundamental to guide industries during the SPL development life-cycle. However, many different SPL tools are available nowadays and the adoption of the appropriate tool is a big challenge in industries. In order to support engineers choosing a tool that best fits their needs, this paper presents the results of a controlled empirical study to assess two Eclipse-based tools, namely FeatureIDE and pure::variants. This empirical study involved 84 students who used and evaluated both tools. The main weakness we observe in both tools are the lack adequate mechanisms for managing the variability, such as for product configuration. As a strength, we observe the automated analysis and the feature model editor.

Cited By

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  • (2023)Comparing software product lines and Clone and Own for game software engineering under two paradigmsJournal of Systems and Software10.1016/j.jss.2023.111824205:COnline publication date: 1-Nov-2023
  • (2019)Software Product Line EngineeringProceedings of the 23rd International Systems and Software Product Line Conference - Volume A10.1145/3336294.3336304(164-176)Online publication date: 9-Sep-2019
  • (2017)FeatureIDEProceedings of the 21st International Systems and Software Product Line Conference - Volume B10.1145/3109729.3109751(42-45)Online publication date: 25-Sep-2017
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Information & Contributors

Information

Published In

cover image Guide Proceedings
ENASE 2016: Proceedings of the 11th International Conference on Evaluation of Novel Software Approaches to Software Engineering
April 2016
402 pages
ISBN:9789897581892
  • Editors:
  • Leszek Maciaszek,
  • Joaquim Filipe

Publisher

SCITEPRESS - Science and Technology Publications, Lda

Setubal, Portugal

Publication History

Published: 27 April 2016

Author Tags

  1. Feature Model
  2. FeatureIDE
  3. Software Product Lines
  4. Variability Management
  5. pure::variants.

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Cited By

View all
  • (2023)Comparing software product lines and Clone and Own for game software engineering under two paradigmsJournal of Systems and Software10.1016/j.jss.2023.111824205:COnline publication date: 1-Nov-2023
  • (2019)Software Product Line EngineeringProceedings of the 23rd International Systems and Software Product Line Conference - Volume A10.1145/3336294.3336304(164-176)Online publication date: 9-Sep-2019
  • (2017)FeatureIDEProceedings of the 21st International Systems and Software Product Line Conference - Volume B10.1145/3109729.3109751(42-45)Online publication date: 25-Sep-2017
  • (2017)A collaborative-based recommender system for configuration of extended product linesProceedings of the 39th International Conference on Software Engineering Companion10.1109/ICSE-C.2017.36(445-448)Online publication date: 20-May-2017
  • (2017)Runtime collaborative-based configuration of software product linesProceedings of the 39th International Conference on Software Engineering Companion10.1109/ICSE-C.2017.154(94-96)Online publication date: 20-May-2017
  • (2016)Multiple View Interactive Environment to Analyze Software Product Line ToolsProceedings of the XII Brazilian Symposium on Information Systems on Brazilian Symposium on Information Systems: Information Systems in the Cloud Computing Era - Volume 110.5555/3021955.3021996(240-247)Online publication date: 17-May-2016
  • (2016)A feature-based personalized recommender system for product-line configurationACM SIGPLAN Notices10.1145/3093335.299324952:3(120-131)Online publication date: 20-Oct-2016
  • (2016)A feature-based personalized recommender system for product-line configurationProceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences10.1145/2993236.2993249(120-131)Online publication date: 20-Oct-2016

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