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Extra resources for Logics in Artificial Intelligence: European Workshop, JELIA 2000 Málaga, Spain, September 29 – October 2, 2000 Proceedings
Integriertes automatisches und interaktives Beweisen: Die Kalk¨ ulebene. Diploma Thesis, Fakult¨ at f¨ ur Informatik, Universit¨ at Karlsruhe, June 1998. 13. M. Giese. A ﬁrst-order simpliﬁcation rule with constraints. In Proc. Int. Workshop on First-Order Theorem Proving, St. Andrews, Scotland, 2000. gz. 14. M. Grand. Patterns in Java, volume 2. John Wiley & Sons, 1999. 15. S. B. Guthery. Java Card: Internet computing on a smart card. IEEE Internet Computing, 1(1):57–59, 1997. 16. E. Habermalz.
2 2 In conventional veriﬁcation systems that do not use an iterative modeling process [25,27], only these ﬁnal two models exist (see also the following subsection). In such 28 Wolfgang Ahrendt et al. Below is a schematic example for the levels of reﬁnement and the modules of a system model (the visibility aspect of modules is not represented here). Stronger reﬁnement may require additional structure via (sub-)modules, hence the number of modules may increase with the degree of reﬁnement. precise model Java code Part of module within one refinement Refinement relation Module Import relation Refinement Levels imprecise model Although the import and reﬁnement relations are similar in some respects, there is a fundamental diﬀerence: by way of example, consider a system component being (imprecisely) modeled as a class DataStorage in an early iteration.
This leads to the requirements: 1. Tools for formal software speciﬁcation and veriﬁcation must be integrated into industrial software engineering procedures. 2. User interfaces of these tools must comply with state-of-the-art software engineering tools. 3. The necessary amount of training in formal methods must be minimized. Moreover, techniques involving formal software speciﬁcation and veriﬁcation must be teachable in a structured manner. They should be integrated in courses on software engineering topics.