DocumentCode :
2291977
Title :
Recovering a business object model from a Web applications
Author :
Lucca, Giuseppe Antonio Di ; Fasolino, Anna Rita ; Tramontana, Porfirio ; Carlini, Ugo De
Author_Institution :
Res. Centre on Software Technol., Sannio Univ., Benevento, Italy
fYear :
2003
fDate :
3-6 Nov. 2003
Firstpage :
348
Lastpage :
353
Abstract :
The growing market request for Web applications is forcing software industries to produce applications under the pressure of a short time-to-market and a strong competition, with the consequence that low quality and poor documented software is often produced. Maintaining, evolving or comprehending these applications are not straightforward tasks, and reverse engineering processes should be defined and validated to support them. In this paper a reverse engineering approach for reconstructing an object-oriented conceptual model of the application domain of a Web application is presented. The proposed approach defines a process that reconstructs the model in three steps. In each step, heuristic criteria exploiting source code analysis are used for the identification of objects and their relationships. Tools for implementing this method have been produced, and experiments for validating it have been carried out with the support of case studies. Experimental results showed the feasibility and the effectiveness of the proposed approach.
Keywords :
Internet; object-oriented programming; reverse engineering; software quality; systems re-engineering; Web applications; Web engineering; business object model; documented software; object orientation; object-oriented conceptual model; reverse engineering; software industries; source code analysis; Application software; Computer industry; Data encapsulation; Job shop scheduling; Object oriented modeling; Reverse engineering; Software engineering; Software quality; Time to market; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 2003. COMPSAC 2003. Proceedings. 27th Annual International
ISSN :
0730-3157
Print_ISBN :
0-7695-2020-0
Type :
conf
DOI :
10.1109/CMPSAC.2003.1245364
Filename :
1245364
Link To Document :
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