DocumentCode :
875771
Title :
An algebra for data flow diagram process decomposition
Author :
Adler, Mike
Author_Institution :
Control Data Corp., Bloomington, MN, USA
Volume :
14
Issue :
2
fYear :
1988
fDate :
2/1/1988 12:00:00 AM
Firstpage :
169
Lastpage :
183
Abstract :
Data flow diagram process decomposition, as applied in the analysis phase of software engineering, is a top-down method that takes a process, and its input and output data flows, and logically implements the process as a network of smaller processes. The decomposition is generally performed in an ad hoc manner by an analyst applying heuristics, expertise, and knowledge to the problem. An algebra that formalizes process decomposition is presented using the De Marco representation scheme. In this algebra, the analyst relates the disjoint input and output sets of a single process by specifying the elements of an input/output connectivity matrix. A directed acyclic graph is constructed from the matrix and is the decomposition of the process. The graph basis, grammar matrix, and graph interpretations, and the operators of the algebra are discussed. A decomposition procedure for applying the algebra, prototype, and production tools and outlook are also discussed
Keywords :
directed graphs; program verification; programming theory; software engineering; De Marco representation scheme; data flow diagram process decomposition; directed acyclic graph; grammar; input/output connectivity matrix; software engineering; top-down method; Algebra; Data engineering; Design for disassembly; Flow graphs; Matrix decomposition; Performance analysis; Production; Prototypes; Software engineering; Software prototyping;
fLanguage :
English
Journal_Title :
Software Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-5589
Type :
jour
DOI :
10.1109/32.4636
Filename :
4636
Link To Document :
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