Advanced Surface Movement Guidance and Control Systems (A-SMGCS) help to further improve safety and efficiency of the traffic on the aerodrome surface. The current A-SMGCS sensor technologies have certain operational and functional limitations. A new and unprecedented sensor technology is being tested as a pilot project. This unique sensors is called MagSense®. It works based on the principle of detecting the influence of ferromagnetic materials on earth’s magnetic field. For applications in the aviation environment, learning processes are necessary which are generally based on the graphical depiction of stored sensor data and features to analyze the graphs. For this purpose a visualization and analysis tool is needed.
In order to create an adequate tool to allow for depicting stored sensor data and the peaks caused by ferromagnetic objects in aircraft and vehicles, a requirements engineering process will be conducted wherein the requirements of the various stakeholders will be identified and harmonized. In general, the appropriate RE approach will ensure mutual agreement among the stakeholders and a set of requirements for the first edition of the tool without contradictions. The harmonized package of requirements will then be used as the starting point for a software development process, after which the tool will be produced as specified and validated as a part of this Master’s Thesis.
This Master’s Thesis puts a special focus on the choice of a suitable method in Requirements Engineering and Requirements Management, adequately adapted to the project size and its quality. The selection of appropriate elements from the methodology as well as the outcomes from applying them on a specific software production project are at the core.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:20701 |
| Date | 28 February 2017 |
| Creators | Panditpautra, Rishi Ashwin |
| Contributors | Vieten, Björn, Hardt, Wolfram, Technische Universität Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:masterThesis, info:eu-repo/semantics/masterThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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