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Improving the testing of Profit Software's insurance policy database system

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Title: Improving the testing of Profit Software's insurance policy database system
Author(s): Nordman, Kristian
Contributor: University of Helsinki, Faculty of Science, Department of Computer Science
Discipline: Computer science
Language: English
Acceptance year: 2017
Abstract:
Profit Software's Profit Life and Pension (PLP) is an investment insurance management system. This means that PLP handles investment insurances from the moment they are sold to when they eventually expire. For a system that handles money, it is important that it can be trusted. Therefore, testing is a required part of PLP's development. This thesis is an investigation into PLP's testing strategy. In this thesis we analyse PLP's current testing strategy to find flaws and impediments. We then offer improvement suggestions to the identified problem areas as well as suggest additions which we found could be beneficial.


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