Skip to main content
SpringerLink
Log in

SQuAT-Vis: Visualization and Interaction in Software Architecture Optimization

  • Conference paper
  • First Online:
Software Architecture (ECSA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1269))

Included in the following conference series:

Abstract

Optimization of software architectures is a complex task that can not be fully automated. For this reason, software architecture optimization approaches often require human architects to participate in the optimization process, e.g., by selecting architectural candidates. Nevertheless, most of these approaches fail to support architects in solving their tasks as they provide no or insufficient visualization and interaction techniques. Thus, architects usually have to invest time and effort to find a (not ideal) solution themselves.

In this paper, we present SQuAT-Vis — a tool that can be plugged into software architecture optimization approaches and allows architects to investigate (intermediate) results visually. SQuAT-Vis has been developed based on four common use cases in the domain and to be compatible with the technologies used by SQuAT, a state-of-the-art software architecture optimization approach. Nevertheless, SQuAT-Vis is conceptually intended to be modular and compatible with other approaches as well. Such a tool is, therefore, an important contribution to the domain of (interactive) software architecture optimization.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

References

  1. Aleti, A., Bjornander, S., Grunske, L., Meedeniya, I.: ArcheOpterix: an extendable tool for architecture optimization of AADL models. In: ICSE MOMPES, pp. 61–71. IEEE (2009)

    Google Scholar 

  2. Aleti, A., Buhnova, B., Grunske, L., Koziolek, A., Meedeniya, I.: Software architecture optimization methods: a systematic literature review. TSE 39(5), 658–683 (2013)

    Google Scholar 

  3. Becker, S., Koziolek, H., Reussner, R.: The Palladio component model for model-driven performance prediction. JSS 82(1), 3–22 (2009)

    Google Scholar 

  4. Boehm, B., In, H.: Identifying quality-requirement conflicts. IEEE Softw. 13(2), 25–35 (1996)

    Article  Google Scholar 

  5. Bostock, M.: D3.js. https://d3js.org

  6. Diaz-Pace, J.A., Campo, M.: Exploring alternative software architecture designs: a planning perspective. IEEE Intell. Syst. 23(5), 66–77 (2008)

    Article  Google Scholar 

  7. Diaz-Pace, A., Kim, H., Bass, L., Bianco, P., Bachmann, F.: Integrating quality-attribute reasoning frameworks in the ArchE design assistant. In: Becker, S., Plasil, F., Reussner, R. (eds.) QoSA 2008. LNCS, vol. 5281, pp. 171–188. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-87879-7_11

    Chapter  Google Scholar 

  8. Frank, S.: SQuAT-Vis showcase video. https://youtu.be/YUGujyR0jA8

  9. Frank, S.: Supplementary material. https://doi.org/10.5281/zenodo.3454747

  10. Frank, S.: Techniques for visualization and interaction in software architecture optimization. Master’s thesis, University of Stuttgart (2019)

    Google Scholar 

  11. Glass, R.L.: Frequently forgotten fundamental facts about software engineering. IEEE Softw. 18(3), 112 (2001)

    Article  Google Scholar 

  12. Hart, E., Ross, P.: GAVEL-a new tool for genetic algorithm visualization. TEVC 5(4), 335–348 (2001)

    Google Scholar 

  13. Isenberg, T., Isenberg, P., Chen, J., Sedlmair, M., Möller, T.: A systematic review on the practice of evaluating visualization. TVCG 19(12), 2818–2827 (2013)

    Google Scholar 

  14. Jones, C.V.: Visualization and optimization. JOC 6(3), 221–257 (1994)

    Article  Google Scholar 

  15. Koziolek, A., Reussner, R.: Towards a generic quality optimisation framework for component-based system models. In: CBSE, pp. 103–108. ACM (2011)

    Google Scholar 

  16. Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors 46(1), 50–80 (2004)

    Article  Google Scholar 

  17. Li, R., Etemaadi, R., Emmerich, M., Chaudron, M.: An evolutionary multiobjective optimization approach to component-based software architecture design. In: CEC, pp. 432–439. IEEE (2011)

    Google Scholar 

  18. Miettinen, K.: Survey of methods to visualize alternatives in multiple criteria decision making problems. OR Spectr. 36(1), 3–37 (2012). https://doi.org/10.1007/s00291-012-0297-0

    Article  MathSciNet  MATH  Google Scholar 

  19. Rago, A., Vidal, S., Diaz-Pace, J.A., Frank, S., van Hoorn, A.: Distributed quality-attribute optimization of software architectures. In: SBCARS, p. 7. ACM (2017)

    Google Scholar 

  20. Rausch, A., Reussner, R.H., Mirandola, R., Plasil, F.: The Common Component Modeling Example, vol. 5153. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85289-6

  21. Roberts, J.C.: State of the art: coordinated & multiple views in exploratory visualization. In: CMV, pp. 61–71. IEEE (2007)

    Google Scholar 

  22. Salameh, H.B., Ahmad, A., Aljammal, A.: Software evolution visualization techniques and methods-a systematic review. In: CSIT, pp. 1–6. IEEE (2016)

    Google Scholar 

  23. Stump, G., Yukish, M., Martin, J., Simpson, T.: The ARL trade space visualizer: an engineering decision-making tool. In: MA&O, p. 4568. AIAA (2004)

    Google Scholar 

Download references

Acknowledgement

This work has been partially supported by the German Research Foundation (HO 5721/1-1) and the Baden-Württemberg Stiftung.

Author information

Authors and Affiliations

  1. Institute of Software Technology, University of Stuttgart, 70569, Stuttgart, Germany

    Sebastian Frank & André van Hoorn

Authors
  1. Sebastian Frank
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. André van Hoorn
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sebastian Frank .

Editor information

Editors and Affiliations

  1. University of L’Aquila, L’Aquila, Italy

    Henry Muccini

  2. University of Groningen, Groningen, The Netherlands

    Paris Avgeriou

  3. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Barbora Buhnova

  4. Department of Computer Science, University of York, York, UK

    Javier Camara

  5. Department of Computer Science, Linnaeus University, Växjö, Sweden

    Mauro Caporuscio

  6. University of L’Aquila, L’Aquila, Italy

    Mirco Franzago

  7. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Anne Koziolek

  8. University of Bergamo, Dalmine, Italy

    Patrizia Scandurra

  9. Gran Sasso Science Institute, L’Aquila, Italy

    Catia Trubiani

  10. Department of Computer Science, KU Leuven, Leuven, Belgium

    Danny Weyns

  11. Faculty of Computer Science, University of Vienna, Vienna, Austria

    Uwe Zdun

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Frank, S., van Hoorn, A. (2020). SQuAT-Vis: Visualization and Interaction in Software Architecture Optimization. In: Muccini, H., et al. Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-59155-7_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-59155-7_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59154-0

  • Online ISBN: 978-3-030-59155-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation