Genetic Design: Amplifying Our Ability to Deal With Requirements Complexity
Individual functional requirements represent fragments of behavior, while a design that satisfies a set of functional requirements represents integrated behavior. This perspective admits the prospect of constructing a design out of its requirements. A formal representation for individual functional...
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creator | Dromey, R. Geoff |
description | Individual functional requirements represent fragments of behavior, while a design that satisfies a set of functional requirements represents integrated behavior. This perspective admits the prospect of constructing a design out of its requirements. A formal representation for individual functional requirements, called behavior trees makes this possible. Behavior trees, derived by rigorous translation from individual functional requirements stated in natural language, may be composed, one at a time, to create an integrated design behavior tree (DBT). We can then transition from this problem domain representation directly and systematically to a solution domain representation of the component architecture of the system and the behavior designs of the individual components that make up the system – both are emergent properties of a DBT. The Early Warning System case study is used to illustrate this genetic design method, and show its potential for defect detection and control of complexity compared with the Statechart design method. |
doi_str_mv | 10.1007/11495628_6 |
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Geoff</creator><contributor>Leue, Stefan ; Systä, Tarja Johanna</contributor><creatorcontrib>Dromey, R. Geoff ; Leue, Stefan ; Systä, Tarja Johanna</creatorcontrib><description>Individual functional requirements represent fragments of behavior, while a design that satisfies a set of functional requirements represents integrated behavior. This perspective admits the prospect of constructing a design out of its requirements. A formal representation for individual functional requirements, called behavior trees makes this possible. Behavior trees, derived by rigorous translation from individual functional requirements stated in natural language, may be composed, one at a time, to create an integrated design behavior tree (DBT). We can then transition from this problem domain representation directly and systematically to a solution domain representation of the component architecture of the system and the behavior designs of the individual components that make up the system – both are emergent properties of a DBT. 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We can then transition from this problem domain representation directly and systematically to a solution domain representation of the component architecture of the system and the behavior designs of the individual components that make up the system – both are emergent properties of a DBT. The Early Warning System case study is used to illustrate this genetic design method, and show its potential for defect detection and control of complexity compared with the Statechart design method.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Behavior Tree</subject><subject>Computer science; control theory; systems</subject><subject>Early Warning System</subject><subject>Emergent Property</subject><subject>Exact sciences and technology</subject><subject>Functional Requirement</subject><subject>Genetic Design</subject><subject>Software</subject><subject>Software engineering</subject><subject>Speech and sound recognition and synthesis. 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Geoff</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p218t-727a372a58c754c521d3ccd31632da41a5e6be6614297da67997c0ac899f9bff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Behavior Tree</topic><topic>Computer science; control theory; systems</topic><topic>Early Warning System</topic><topic>Emergent Property</topic><topic>Exact sciences and technology</topic><topic>Functional Requirement</topic><topic>Genetic Design</topic><topic>Software</topic><topic>Software engineering</topic><topic>Speech and sound recognition and synthesis. Linguistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dromey, R. Geoff</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dromey, R. Geoff</au><au>Leue, Stefan</au><au>Systä, Tarja Johanna</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Genetic Design: Amplifying Our Ability to Deal With Requirements Complexity</atitle><btitle>Lecture notes in computer science</btitle><date>2005</date><risdate>2005</risdate><spage>95</spage><epage>108</epage><pages>95-108</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540261893</isbn><isbn>9783540261896</isbn><eisbn>3540320326</eisbn><eisbn>9783540320326</eisbn><abstract>Individual functional requirements represent fragments of behavior, while a design that satisfies a set of functional requirements represents integrated behavior. This perspective admits the prospect of constructing a design out of its requirements. 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language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Behavior Tree Computer science control theory systems Early Warning System Emergent Property Exact sciences and technology Functional Requirement Genetic Design Software Software engineering Speech and sound recognition and synthesis. Linguistics |
title | Genetic Design: Amplifying Our Ability to Deal With Requirements Complexity |
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