Nothing Special   »   [go: up one dir, main page]

Skip to main content

Impact of MDE Approaches on the Maintainability of Web Applications: An Experimental Evaluation

  • Conference paper
Conceptual Modeling – ER 2011 (ER 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6998))

Included in the following conference series:

Abstract

Model-driven Engineering (MDE) approaches are often recognized as a solution to palliate the complexity of software maintainability tasks. However, there is no empirical evidence of their benefits and limitations with respect to code-based maintainability practices. To fill this gap, this paper illustrates the results of an empirical study, involving 44 subjects, in which we compared an MDE methodology, WebML, and a code-based methodology, based on PHP, with respect to the performance and satisfaction of junior software developers while executing analysability, corrective and perfective maintainability tasks on Web applications. Results show that the involved subjects performed better with WebML than with PHP, although they showed a slight preference towards tackling maintainability tasks directly on the source code. Our study also aims at providing a replicable laboratory package that can be used to assess the maintainability of different development methods.

The authors wish to thank the students who kindly agreed to participate in this empirical study.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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.

Similar content being viewed by others

References

  1. Ruiz, F., Polo, M.: Mantenimiento del Software. Grupo Alarcos, Departamento de Informática de la Universidad de Castilla-La Mancha (2007)

    Google Scholar 

  2. Coleman, D., Ash, D., Lowther, B., Oman, P.: Using metrics to evaluate software system maintainability. Computer 27(8), 44–49 (2002)

    Article  Google Scholar 

  3. Ameller, D., Gutiérrez, F., Cabot, J.: Dealing with non-functional requirements in model-driven development (2010)

    Google Scholar 

  4. López, E.D., González, M., López, M., Iduñate, E.L.: Proceso de Desarrollo de Software Mediante Herramientas MDA. In: CISCI: Conferencia Iberoamericana en Sistemas, Cibernética e Informática (2007)

    Google Scholar 

  5. Heijstek, W., Chaudron, M.R.V.: Empirical investigations of model size, complexity and effort in a large scale, distributed model driven development process. In: 35th Euromicro Conference on Software Engineering and Advanced Applications, pp. 113–120. IEEE, Los Alamitos (2009)

    Chapter  Google Scholar 

  6. Mohagheghi, P.: An Approach for Empirical Evaluation of Model-Driven Engineering in Multiple Dimensions. In: From Code Centric to Model Centric: Evaluating the Effectiveness of MDD (C2M:EEMDD), pp. 6–17. CEA LIST Publication (2010)

    Google Scholar 

  7. Glass, R.L.: Matching methodology to problem domain. Communications of the ACM 47(5), 19–21 (2004)

    Article  Google Scholar 

  8. Wohlin, C., Runeson, P., Host, M.: Experimentation in software engineering: an introduction. Springer, Netherlands (2000)

    Book  MATH  Google Scholar 

  9. Dyba, T., Kitchenham, B.A., Jorgensen, M.: Evidence-based software engineering for practitioners. IEEE Software 22(1), 58–65 (2005)

    Article  Google Scholar 

  10. Kitchenham, B., Budgen, D., Brereton, P., Turner, M., Charters, S., Linkman, S.: Large-scale software engineering questions-expert opinion or empirical evidence? IET Software 1(5), 161–171 (2007)

    Article  Google Scholar 

  11. Zelkowitz, M.V.: An update to experimental models for validating computer technology. Journal of Systems and Software 82(3), 373–376 (2009)

    Article  Google Scholar 

  12. Wikipedia, http://en.wikipedia.org/wiki/PHP

  13. Vallecillo, A., Koch, N., Cachero, C., Comai, S., Fraternali, P., Garrigós, I., Gómez, J., Kappel, G., Knapp, A., Matera, M., et al.: MDWEnet: A practical approach to achieving interoperability of model-driven Web engineering methods. In: Workshop Proc. of 7th Int. Conf. on Web Engineering (ICWE 2007). Citeseer, Italy (2007)

    Google Scholar 

  14. Ceri, S., Fraternali, P., Bongio, A., Brambilla, M., Comai, S., Matera, M.: Morgan Kaufmann series in data management systems: Designing data-intensive Web applications. Morgan Kaufmann Pub., San Francisco (2003)

    Google Scholar 

  15. ISO/IEC FCD 25010: Systems and software engineering - Software product. Requirements and Evaluation(SQuaRE) - Quality models for software product quality and system quality in use (2009)

    Google Scholar 

  16. Chapin, N., Hale, J.E., Khan, K.M., Ramil, J.F., Tan, W.G.: Types of software evolution and software maintenance. Journal of Software Maintenance and Evolution: Research and Practice 13(1), 3–30 (2001)

    Article  MATH  Google Scholar 

  17. Kitchenham, B., Mendes, E., Travassos, G.H.: Cross versus Within-Company Cost Estimation Studies: A Systematic Review. IEEE Transactions on Software Engineering 33(5), 316–329 (2007)

    Article  Google Scholar 

  18. Martinez, Y., Cachero, C., Melia, S.: Evidencia empírica sobre mejoras en productividad y calidad mediante el uso de aproximaciones MDD: un mapeo sistemático de la literatura. REICIS (submitted) (2011)

    Google Scholar 

  19. Mellegård, N., Staron, M.: Improving Efficiency of Change Impact Assessment Using Graphical Requirement Specifications: An Experiment. In: Product-Focused Software Process Improvement, pp. 336–350 (2010)

    Google Scholar 

  20. Perry, D.E., Porter, A.A., Votta, L.G.: Empirical studies of software engineering: a roadmap. In: The Future of Software Engineering, pp. 345–355. ACM, New York (2000)

    Google Scholar 

  21. Moody, D.L.: Dealing with Complexity: A Practical Method for Representing Large Entity Relationship Models (PhD Thesis). Melbourne, Australia: Department of Information Systems, University of Melbourne (2001)

    Google Scholar 

  22. Abrahão, S., Mendes, E., Gomez, J., Insfran, E.: A model-driven measurement procedure for sizing web applications: Design, automation and validation. In: Engels, G., Opdyke, B., Schmidt, D.C., Weil, F. (eds.) MODELS 2007. LNCS, vol. 4735, pp. 467–481. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  23. Ceri, S., Fraternali, P., Bongio, A.: Web Modeling Language (WebML): a modeling language for designing Web sites. Computer Networks 33(1-6), 137–157 (2000)

    Article  Google Scholar 

  24. Cook, T.D., Campbell, D.T., Day, A.: Quasi-experimentation: Design & analysis issues for field settings. Houghton Mifflin Boston (1979)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Martínez, Y., Cachero, C., Matera, M., Abrahao, S., Luján, S. (2011). Impact of MDE Approaches on the Maintainability of Web Applications: An Experimental Evaluation. In: Jeusfeld, M., Delcambre, L., Ling, TW. (eds) Conceptual Modeling – ER 2011. ER 2011. Lecture Notes in Computer Science, vol 6998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24606-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24606-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24605-0

  • Online ISBN: 978-3-642-24606-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics