الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
The software industry is attractive to developing countries seeking better economic indicators. While aiming at industry prosperity, policymakers propose strategies despite unstructured and scattered information and many constraints like time and cost. Policymaking relies on strategic decision-making where several tools and frameworks exist to support rational strategic decision-making. Unfortunately, these tools and frameworks do not provide a systematic approach to measure the expected success level at a specific time, for instance, at the end of the execution of the strategy; and the expected time to reach a certain success level.
This thesis introduces a framework for assessing public policy alternatives based on goal models, describing a strategy in terms of a goal model. It also provides a novel goal model evaluation method based on the state-space representation used extensively in control systems. By employing the proposed goal model evaluation technique, the success of each possible strategy implementation alternative is predicted. The expected success of the strategy’s final goal and the cost are estimated at each point in time. The software industry in a growing economy country has been modeled according to the proposed methodology. Different strategy implementations can been compared by analyzing the output from a simple tool that realizes the proposed methodology. This is demonstrated in the thesis as an example.