Skip to main content

An Action-Stack Based Selective-Undo Method in Feature Model Customization

  • Conference paper
Book cover Safe and Secure Software Reuse (ICSR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7925))

Included in the following conference series:

  • 1276 Accesses

Abstract

Feature models are widely adopted in domain-oriented software reuse. The feature model customization is a process to determine which features are selected into or removed from an application. Auto-propagation is a practical strategy to assist customization but has a side-effect that may select or remove unintended features. To handle such a side-effect, a mechanism called selective-undo is needed that eliminates unintended selections and removals while preserving other selections and removals. This paper presents a selective-undo method based on action-stack by using the intrinsic relationships in a feature model, and investigates the implementation of the corresponding algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kyo, C., Kang, S., Cohen, J., Hess, W.: Novak, and A. Peterson, Feature-Oriented Domain Analysis Feasibility Study, Technical Report CMU/SEI-90-TR-21, Software Engineering Institute, Carnegie Mellon University (November 1990)

    Google Scholar 

  2. Mannion, M.: Using First-Order Logic for Product Line Model Validation. In: Chastek, G.J. (ed.) SPLC 2002. LNCS, vol. 2379, pp. 176–187. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  3. Batory, D.: Feature Models, Grammars, and Propositional Formulas. In: Obbink, H., Pohl, K. (eds.) SPLC 2005. LNCS, vol. 3714, pp. 7–20. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  4. Long, L., Haiyan, Z., Wei, Z.: MbFM: A matrix-based tool for modeling and configuring feature models. In: 2012 20th IEEE International Requirements Engineering Conference (RE), Chicago, IL, pp. 325–326 (2012)

    Google Scholar 

  5. Zhang, W., Zhao, H., Mei, H.: A Feature-Oriented Approach to Modeling Requirements Dependencies. In: The 13th IEEE International Requirements Conference (RE 2005), Minnesota, USA, pp. 273–284 (2005)

    Google Scholar 

  6. Wang, B., Xiong, Y., Hu, Z., Zhao, H., Zhang, W., Mei, H.: A Dynamic-Priority based Approach to Fixing Inconsistent Feature Models. In: Petriu, D.C., Rouquette, N., Haugen, Ø. (eds.) MODELS 2010, Part I. LNCS, vol. 6394, pp. 181–195. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Wang, B., Hu, Z., Xiong, Y., Zhao, H., Zhang, W., Mei, H.: Tolerating Inconsistency in Feature Models. In: 3rd Workshop on Living With Inconsistency in Software Development, held with 25th IEEE/ACM International Conference on Automated Software Engineering (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Long, L., Haiyan, Z., Wei, Z., Weichao, W. (2013). An Action-Stack Based Selective-Undo Method in Feature Model Customization. In: Favaro, J., Morisio, M. (eds) Safe and Secure Software Reuse. ICSR 2013. Lecture Notes in Computer Science, vol 7925. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38977-1_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38977-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38976-4

  • Online ISBN: 978-3-642-38977-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics