By Michael C. Curtis, Victoria J. D. Sivess (auth.), Dimitris Christodoulakis (eds.)
The annual Ada-Europe convention is an important occasion in Europe for the advertising and improvement of the Ada programming language and of Ada-based software program engineering method. a complete of 25 papers have been chosen for the 1991 convention. Technical excellence and originality have been the primary choice standards, yet clarity and relevance to the convention subject matter have been additionally taken into consideration. The papers have been equipped into 8 sections, on language matters, metrics, concurrency and parallelism in Ada, non-stop platforms, environments and instruments, distribution, faces of reuse, and undertaking reports.
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Additional info for Ada: The Choice for '92: Ada-Europe International Conference Athens, Greece, May 13–17, 1991 Proceedings
Jurk Eﬀects of Sequences of Primitive Updates Primitive updates modify the values of state variables. These modiﬁcations have to be considered in the account of the desired and executed (historical) eﬀects, because repetitive modiﬁcations of a state variable might interfere. Therefore, the computation of eﬀects requires repeated application of the modiﬁcations to the state variables. The following examples demonstrate these notions in the set domain. They use the updates x := insert(x, e) and x := delete(x, e), for a set variable x and an element variable e, with the eﬀect formulae e ∈ x and e ∈ / x, respectively.
COIN [BG97] also uses a CLP framework (Eclipse) for abductive reasoning and CHRs for implementing integrity constraints. However, integrity constraints can be imposed in COIN only on source predicates. Thus, COIN domain knowledge reduces to Prolog reduction rules, which are used only backwards (during goal regression). The lack of forward propagation rules involving base predicates (and not just sources) makes the discovery of potential interactions between base predicates (and thus the full use of domain knowledge) impossible.
The rules are of the form: ON update(x, f (¯ e)) : IF p(¯ e) THEN S(¯ e). where x is a state variable, e¯ is a set of input variables, f (¯ e) an expression over e¯, p(¯ e) is a condition (formula) whose free variables are either state variables or in e¯, and S(¯ e) is a transaction in L(X), with input variables e¯. That is, rule conditions and actions do not include input variables that do not appear in their triggering events. As described in the introduction, every path in a rule execution plan of an assignment update determines a transaction.
Ada: The Choice for '92: Ada-Europe International Conference Athens, Greece, May 13–17, 1991 Proceedings by Michael C. Curtis, Victoria J. D. Sivess (auth.), Dimitris Christodoulakis (eds.)