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Automated architectural evaluation of web information systems

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Published:05 November 2013Publication History

ABSTRACT

Traditional scenario-based architectural analysis methods rely on manual review-based evaluation that requires advanced skills from architects and developers. They are usually applied when the architecture is under development, but before its implementation has begun. The system implementation is one additional and fundamental element that should be used and considered during the software architecture evaluation. In this paper, we propose an approach to add information, which ideally should come from traditional evaluation methods, about scenarios and quality attributes to the source code of web-based systems using metadata. The main aim is to enable the automatic architecture analysis by producing a report with information about scenarios, quality attributes and source code assets, such as: (i) the potential tradeoff points among quality attributes, (ii) the execution time for scenarios and if it has failed or not. Up to now, the approach has been applied mainly to web-based systems, but it can be adapted to other software domains. The paper also presents the tool used to perform static and dynamic analysis, and the results of its application to an e-commerce web system and an enterprise information web system.

References

  1. Clements, P., Kazman, R., Klein, M. 2002. Evaluating Software Architectures: Methods and Case Studies, Addison-Wesley. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bengtsson, P., Lassing, N., Bosch, J., Vliet, H. (2004). Architecture-level modifiability analysis (ALMA). Journal of Systems and Software. 69, 1--2 (January 2004). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Kazman, R., Abowd, G., Bass, L., Clements, P. 1996. Scenario-Based Analysis of Software Architecture. IEEE Softw. 13, 6 (November 1996), 47--55. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Silva, L., Balasubramaniam, D. 2012. Controlling software architecture erosion: A survey. J. Syst. Softw. 85, 1 (January 2012), 132--151. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Abi-Antoun, M., Aldrich, J. 2009. Static extraction and conformance analysis of hierarchical runtime architectural structure using annotations. SIGPLAN Not. 44, 10 (October 2009), 321--340. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Tibermacine, C. and Zernadji, T. (2011). Supervising the evolution of web service orchestrations using quality requirements. In Proceedings of the 5th European conference on Software architecture (ECSA'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Muhammad and Gorton, I. (2004). Comparison of Scenario-Based Software Architecture Evaluation Methods. In Proceedings of the 11th Asia-Pacific Software Engineering Conference (APSEC '04). Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Holmes, R., Notkin, D. 2011. Identifying program, test, and environmental changes that affect behaviour. In Proceedings of the 33rd International Conference on Software Engineering (ICSE '11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. WALA, T. J. Watson Libraries for Analysis: http://wala.sourceforge.net, May 2013.Google ScholarGoogle Scholar
  10. Torres, M. 2011. Avaliação Sistemática de Abordagens de Derivação de Produtos. Dissertação (Mestrado), Universidade Federal do Rio Grande do Norte (UFRN), Natal, Brasil, 2011.Google ScholarGoogle Scholar
  11. Aquino, H. M. (2011). Uma Abordagem Sistemática para o Teste de Linhas de Produto de Software. 2011. Dissertação (Mestrado), Universidade Federal do Rio Grande do Norte (UFRN), Natal, Brasil, 2011.Google ScholarGoogle Scholar
  12. Lau, S. Q. 2006. Domain Analysis of E-Commerce Systems Using Feature-Based Model Templates, MSc Thesys, University of Waterloo.Google ScholarGoogle Scholar
  13. SINFO. (2012). Superintendência de Informática, UFRN: http://www.info.ufrn.br/wikisistemas, May 2013.Google ScholarGoogle Scholar
  14. Christensen, H. B., Hansen, K, M. (2011). Towards architectural information in implementation (NIER track). In Proceedings of the 33rd International Conference on Software Engineering (ICSE '11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Mirakhorli, M., Shin, Y., Cleland-Huang, J., Cinar, M. 2012. A tactic-centric approach for automating traceability of quality concerns. In Proceedings of the 2012 International Conference on Software Engineering (ICSE 2012). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Automated architectural evaluation of web information systems

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    • Published in

      cover image ACM Other conferences
      WebMedia '13: Proceedings of the 19th Brazilian symposium on Multimedia and the web
      November 2013
      360 pages
      ISBN:9781450325592
      DOI:10.1145/2526188

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      Publication History

      • Published: 5 November 2013

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