Title :
Extracting UML models from images
Author :
Karasneh, Bilal ; Chaudron, Michel R. V.
Author_Institution :
Leiden Inst. of Adv. Comput. Sci. (LIACS), Leiden, Netherlands
Abstract :
Software modeling is an active field of research. In this field, UML is considered the standard for software modeling. Studying UML models is important to understand their effectiveness in software development. Ideally, researchers want to study UML models from documentations from industrial software projects. Given their limited availability, we resort to collecting UML models from internet. A big problem for studies of UML models is that UML models are published mostly in image formats (such as JPEG). These images do not include the model information that is available for UML models when saved in a CASE (Computer Automated Software Engineering) tool format or the XML-based version of the UML interchange format: XMI. Current CASE tools cannot recognize information from images. In this paper we propose the Img2UML tool to solve this problem. The Img2UML extracts UML Class models from images such that these models can be loaded into CASE tools for further study. The Img2UML tool exports UML Class models into XMI files which can be read with the StarUML CASE tool. We performed a validation which shows that Img2UML successfully handles a large class of UML Class images.
Keywords :
Internet; Unified Modeling Language; XML; computer aided software engineering; image recognition; Img2UML; Internet; StarUML CASE tool; UML class image; UML class model extraction; UML interchange format; XMI files; XML-based version; class model image recognition; computer automated software engineering; image formats; software development; software modeling; Computational modeling; Computer aided software engineering; Image recognition; Load modeling; Software; Text recognition; Unified modeling language; Image recognition; UML Class models; XMI;
Conference_Titel :
Computer Science and Information Technology (CSIT), 2013 5th International Conference on
Conference_Location :
Amman
DOI :
10.1109/CSIT.2013.6588776