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GRAPH GENERATION ALGORITHMS FOR THE GRADE DECISION CANVAS
Mälardalens högskola, Akademin för innovation, design och teknik.
Mälardalens högskola, Akademin för innovation, design och teknik.
2018 (engelsk)Independent thesis Basic level (degree of Bachelor), 12 hpOppgave
Abstract [en]

Development in the field of software architecture, from the early days in the mid-80’s, has been significant. From purely technical descriptions to decision based architectural knowledge, software architecture has seen fundamental changes to its methodologies and techniques. Architectural knowledge is a resource that is managed and stored by companies, this resource is valuable because it can be reused and analysed to improve future development. Companies today are interested in the reasoning behind the software architecture. This reasoning is mainly formulated through the architectural decisions made during development. For architectural decisions to be easier to analyse they need to be stored in a way that enables use of common analytical tools so that comparisons between decisions are consistent and relevant. Additionally, it is also important to have enough data, which leads us to the problem that, preferably, all the individual architectural knowledge cases must be structured and stored. To do this we present a tool that uses graph generation algorithms to generate architectural knowledge as graphs based on an architectural decision canvas called GRADE. This enables multiple decision cases to be encoded through graphs that can be used to analyse relationships and balances between different architectural knowledge elements represented through nodes and edges within a graph.

sted, utgiver, år, opplag, sider
2018. , s. 32
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-41200OAI: oai:DiVA.org:mdh-41200DiVA, id: diva2:1257364
Fag / kurs
Computer Science
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(engelsk)
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Tilgjengelig fra: 2018-10-19 Laget: 2018-10-19 Sist oppdatert: 2018-10-19bibliografisk kontrollert

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