In this thesis a method for selecting test cases for test automation is developed and evaluated. Existing methods from the literature has been reviewed and modified resulting in the proposed method, a decision tree containing 23 factors grouped into 8 decision points. The decision tree has been used and evaluated in an industrial setting. The economic benefits were calculated with return on investment and the organisational benefits were measured in a survey at a software producing company. The result was that automated tests, selected with the decision tree, provided economic benefits after 0.5 to 4 years, these tests were also found leading to 3 organisational benefits: less human effort when testing, reduction in cost and allowing for shorter release cycles.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-154941 |
Date | January 2019 |
Creators | Lindholm, David |
Publisher | Linköpings universitet, Programvara och system |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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