By N. W. P. van Diepen, H. A. Partsch (auth.), J. A. Bergstra, L. M. G. Feijs (eds.)
The right remedy and selection of the fundamental information buildings is a crucial and intricate half within the strategy of software development. Algebraic equipment supply ideas for facts abstraction and the established specification, validation and research of knowledge buildings. This quantity originates from a workshop geared up inside of ESPRIT undertaking 432 METEOR, An built-in Formal method of business software program improvement, held in Mierlo, The Netherlands, September 1989. the quantity comprises 5 invited contributions in response to workshop talks given through A. Finkelstein, P. Klint, C.A. Middelburg, E.-R. Olderog, and H.A. Partsch. Ten extra papers via participants of the METEOR crew are in accordance with talks given on the workshop. The workshop was once a successor to an past one held in Passau, Germany, June 1987, the court cases of which have been released as Lecture Notes in computing device technology, Vol. 394.
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Additional resources for Algebraic Methods II: Theory, Tools and Applications
Our focus on requirements engineering is not difficult to justify. It is well known that the cost of eliminating a requirements specification error increases rapidly as we move towards implementation. In addition requirements engineering covers some of the least well understood (and supported) parts of the software development process. Our focus on methods, as against a more traditional computer science focus on specification languages, may require more justification: methods are where software process and representation meet; methods bring together complementary representation schemes; methods are a source of packaged software development expertise; methods largely drive the selection of development tools; methods are a primary vehicle for 30 training and technology transfer in software development organisations.
The representation scheme for data flow analysis is presented in terms of annotated directed graphs. In the specifications which follow w e will, for clarity of exposition, use the graphic representation. ViewPoint T e m p l a t e Description: data flow analysis 46 Style given l~ r DF = (Term, Func, Store, Data flow) Terminals Term Set of nodes Term of symbols (represented by square) denoting ,,, ,, ,,, a terminal node Fun~ons Func Set of nodes Func of symbols (represented by circles) denoting functionnodes Stores Store Set of nodes Stores of symbols (represented by two parallel horizontal lines) denoting data stores Term,Func,Store pairwise disjoint and let the set N of graph nodes N -- Term u Func u Stores Data flows Set Data flow of labelled Edges given by E,L,F Data flow Data flow names F F is a set of symbols denoting Data flow names with F r7 N = withEcNxN Edges E Labelling L withL:E~F W o r k plan: actions basic actions basic work plan actions add_node(type), remove_node, adddataflow, removedata_flow identify_terminal_nodes, identify function_nodes, identify_data_store_nodes, identify_data flows, check_consistency heuristics more_than_max functions?
Miinchen, 1983. : Requirements analysis - - a management perspective. In: Proc. COMPSAC '82, pp. 410-416, November 1982. : Specifying software requirements. In: Proc. IEEE 68:9, pp. 1077-1085, 1980. ViewPoint Oriented Software Development: Methods and Viewpoints in Requirements Engineering Anthony Finkelstein Michael Goedicke Jeff Kramer Celso Niskier Imperial College of Science, Technology & Medidne (University of London) Abstract This paper outlines progress on: developing methods to support requirements formalisation; incremental development of formal specifications; tool support for requirements expression; modelling requirements elicltation.