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All Outputs (3)

Obtaining E-R diagrams semi-automatically from natural language specifications (2004)
Presentation / Conference
Meziane, F., & Vadera, S. (2004, April). Obtaining E-R diagrams semi-automatically from natural language specifications. Poster presented at Sixth International Conference on Enterprise Information Systems (ICEIS 2004), Universidade Portucalense, Porto, Portugal

Since their inception, entity relationship models have played a central role in systems specification, analysis and development. They have become an important part of several development methodologies and standards such as SSADM. Obtaining entity r... Read More about Obtaining E-R diagrams semi-automatically from natural language specifications.

A comparison of computer science and software engineering programmes in English universities (2004)
Presentation / Conference
Meziane, F., & Vadera, S. (2004, March). A comparison of computer science and software engineering programmes in English universities. Presented at 17th Conference on Software Engineering Education and Training 2004, Norfolk, Virginia, USA

Recent years have seen much debate about the appropriate content of software engineering (SE) programs and how they relate to computer science (CS) programs, culminating in the distinguishing knowledge areas identified in the ACM/IEEE CS and SE curri... Read More about A comparison of computer science and software engineering programmes in English universities.

A document management methodology based on similarity contents (2004)
Journal Article
Meziane, F., & Rezgui, Y. (2004). A document management methodology based on similarity contents. Information Sciences, 158, 15-36. https://doi.org/10.1016/j.ins.2003.08.009

The advent of the WWW and distributed information systems have made it possible to share documents between different users and organisations. However, this has created many problems related to the security, accessibility, right and most importantly t... Read More about A document management methodology based on similarity contents.