M. Joris

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The paper proposes both a general framework and specific techniques for file and database reverse engineering, i.e. recovering its conceptual schema. The framework relies on a process/product model that matches formal as well as empirical design procedures. Based on the analysis of database design processes, two major phases are defined, namely Data(More)
This is an abstract of a revision of the original paper (ER'93 pre-proceedings 2) that presents a DBMS-independent database reverse engineering (DBRE) methodology based on a generic process model and on transformation techniques. DBRE is proposed as a two-phase process consisting in recovering the DBMS-dependent data structures (data structure extraction)(More)
The paper presents a DBMS-independent database reverse engineering (DBRE) methodology based on a generic process model and on transformation techniques. DBRE is proposed as a two-phase process consisting in recovering the DBMS-dependent data structures (data structure extraction) then in recovering their semantics (data structure conceptualization). The(More)
Decision-making in competitive games with incomplete information is a field with many promising applications for AI, both in games (e.g. poker) and in real-life settings (e.g. security). The most general game-theoretic framework that can be used model such games is the zero-sum Partially Observable Stochastic Game (zs-POSG). While use of this model enables(More)
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