Abstract
Planning out maintenance tasks to increase the quality of Web applications can be difficult for a manager. First, it is hard to evaluate the precise effect of a task on quality. Second, quality improvement will generally be the result of applying a combination of available tasks; identifying the best combination can be complicated. We present a general approach to recommend improvements to Web applications. The approach uses a meta-heuristic algorithm to find the best sequence of changes given a quality model responsible to evaluate the fitness of candidate sequences. This approach was tested using a navigability model on 15 different Web pages. The meta-heuristic recommended the best possible sequence for every tested configuration, while being much more efficient than an exhaustive search with respect to execution time.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sahraoui, H.A., Godin, R., Miceli, T.: Can Metrics Help to Bridge the Gap between the Improvement of OO Design Quality and its Automation? In: Proceedings of the 16th International Conference on Software Maintenance, pp. 154–162 (2000)
Olsina, L., Rossi, G., Garrido, A., Distante, D., Canfora, G.: Incremental Quality Improvement in Web Applications Using Web Model Refactoring. In: Weske, M., Hacid, M.-S., Godart, C. (eds.) WISE Workshops 2007. LNCS, vol. 4832, pp. 411–422. Springer, Heidelberg (2007)
Seng, O., Stammel, J., Burkhart, D.: Search-based Determination of Refactorings for Improving the Class Structure of Object-oriented Systems. In: Cattolico, M. (ed.) Proceedings of the 2006 GECCO conference companion on Genetic and evolutionary computation, pp. 1909–1916. ACM, New York (2006)
Nielsen, J., Loranger, H.: Prioritizing Web Usability. New Riders, Berkeley (2006)
Boldyreff, C., Warren, P., Gaskell, C., Marshall, A.: Web-SEM Project: Establishing Effective Web Site Evaluation Metrics. In: Proceedings of the 2nd International Workshop on Web Site Evolution, Washington, DC, USA, pp. 17–20. IEEE Computer Society, Los Alamitos (2000)
Deleuze, C.: Some Points Affecting Web Performance. In: Cordeiro, J.A.M., Pedrosa, V., Encarnação, B., Filipe, J. (eds.) Proceedings of the 2nd International Conference on Web Information Systems and Technologies, pp. 242–245. INSTICC Press (2006)
Olsina, L., Lafuente, G., Rossi, G.: Specifying Quality Characteristics and Attributes for Websites. In: Murugesan, S., Desphande, Y. (eds.) Web Engineering. LNCS, vol. 2016, pp. 266–278. Springer, Heidelberg (2001)
Albuquerque, A.B., Belchior, A.D.: E-Commerce Websites: a Qualitative Evaluation
Malak, G., Sahraoui, H.A., Badri, L., Badri, M.: Modeling Web-Based Applications Quality: A Probabilistic Approach. In: Aberer, K., Peng, Z., Rundensteiner, E.A., Zhang, Y., Li, X. (eds.) WISE 2006. LNCS, vol. 4255, pp. 398–404. Springer, Heidelberg (2006)
Caro, A., Calero, C., de Salamanca, J.E., Piattini, M.: Refinement of a Tool to Assess the Data Quality in Web Portals. In: Proceedings of the7th International Conference on Quality Software, pp. 238–243. IEEE Computer Society, Los Alamitos (2007)
Du Bois, B., Demeyer, S., Verelst, J.: Does the “Refactor to Understand” Reverse Engineering Pattern Improve Program Comprehension? In: Proceedings of the 9th European Conference on Software Maintenance and Reengineering, Washington, DC, USA, pp. 334–343. IEEE Computer Society, Los Alamitos (2005)
Harman, M., Tratt, L.: Pareto Optimal Search Based Refactoring at the Design Level. In: Lipson, H. (ed.) Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation, pp. 1106–1113. ACM, New York (2007)
Ping, Y., Kontogiannis, K.: Refactoring Web sites to the Controller-Centric Architecture. In: Proceedings of the 8th European Conference on Software Maintenance and Reengineering, pp. 204–213. IEEE Computer Society, Los Alamitos (2004)
Ferland, J.A., Costa, D.: Heuristic search methods for combinatorial programming problems. Technical report, Université de Montréal (2001)
Haydar, M., Malak, G., Sahraoui, H., Petrenko, A., Boroday, S.: Anomaly Detection and Quality Evaluation of Web Applications. In: Handbook of Research on Web Information Systems Quality. IGI Global (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vaucher, S., Boclinville, S., Sahraoui, H., Habra, N. (2009). Recommending Improvements to Web Applications Using Quality-Driven Heuristic Search. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds) Web Information Systems Engineering - WISE 2009. WISE 2009. Lecture Notes in Computer Science, vol 5802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04409-0_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-04409-0_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04408-3
Online ISBN: 978-3-642-04409-0
eBook Packages: Computer ScienceComputer Science (R0)