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Efficiency of a Scenario Editor for Connectivity Between Virtual Military Combat Systems
Linköping University, Department of Computer and Information Science.
Linköping University, Department of Computer and Information Science.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Effektivitet av en scenarioredigerare för kontakt mellan virtuella militära stridsledningssystem (Swedish)
Abstract [en]

Today people spend a lot of time trying to complete software-related assignments. Poorly designed software can waste both time and resources needed to complete a task. It is therefore important to have efficient ways to complete these tasks. The Swedish Defence Research Agency, also known as FOI has developed software to calculate whether simulated units in the terrain have radio contact or not. In the current approach the employees manu-ally writes scenario files which contains information about the contact. However, these sce-nario files quickly become very large and difficult to work with. A possible solution to this issue is creating a scenario editor where the user can use an interface to create information about the contact between the units. This thesis suggests a Military Combat System Scenario Editor (MCSSE) which is compared to writing scenario files manually. The comparison is made by first performing a number of tasks with both applications. The applications thereafter evaluated using a metric called Minimal Actions Performed (MAP) which is defined for this comparison. The thesis also suggests appropriate tasks for evaluating the applications using an iterative method consisting of meetings with an expert with specified questions. By using the MAP metric, the application can be evaluated and the results show that the MCSSE is on average 66% more efficient than the current approach.

Place, publisher, year, edition, pages
2019. , p. 52
Keywords [en]
Scenario Editor, Efficiency, FOI, Task, Software, Bachelor Thesis, Minimal Action
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-162577ISRN: LIU-IDA/LITH-EX-G--19/058--SEOAI: oai:DiVA.org:liu-162577DiVA, id: diva2:1376114
External cooperation
FOI
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2019-12-10 Created: 2019-12-08 Last updated: 2019-12-10Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Language
  • de-DE
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Output format
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