Real Exchange Rate and Human Capital in the Empirics of Economic Growth

This paper discusses the relative importance of transitional dynamics and steady state issues in growth. A new perspective is proposed about this debate, marked by different views. We argue that it is also important to consider the dynamics of economies, given the presence of low speed of convergence. We use the real exchange rate and take into account a model where all variables like GDP have the same dynamics. Moreover, we explicitly derive a role for human capital in growth regressions.

Financial globalization, convergence and growth

We provide evidence that the composition of foreign capital, measured by the ratio foreign direct investment over total liabilities, a.ects growth directly and through the speed of convergence. Developing countries benefit relatively more as their initial GDP is smaller. The dataset comprises the period 1970-2004 and 96 countries, and the results are robust to di.erent measures of the composition of foreign capital, restricted time period, developing countries, and alternative explanations of convergence and growth. These results are consistent with the neoclassical growth model with credit constraints presented in this paper, in which the composition of foreign capital a.ects the transition dynamics through a positive e.ect on the speed of convergence and steady state GDP.composition of foreign capital; speed of convergence; growth.

A Testability Analysis Framework for Non-Functional Properties

This paper presents background, the basic steps and an example for a testability analysis framework for non-functional properties

Visualizing test diversity to support test optimisation

Diversity has been used as an effective criteria to optimise test suites for cost-effective testing. Particularly, diversity-based (alternatively referred to as similarity-based) techniques have the benefit of being generic and applicable across different Systems Under Test (SUT), and have been used to automatically select or prioritise large sets of test cases. However, it is a challenge to feedback diversity information to developers and testers since results are typically many-dimensional. Furthermore, the generality of diversity-based approaches makes it harder to choose when and where to apply them. In this paper we address these challenges by investigating: i) what are the trade-off in using different sources of diversity (e.g., diversity of test requirements or test scripts) to optimise large test suites, and ii) how visualisation of test diversity data can assist testers for test optimisation and improvement. We perform a case study on three industrial projects and present quantitative results on the fault detection capabilities and redundancy levels of different sets of test cases. Our key result is that test similarity maps, based on pair-wise diversity calculations, helped industrial practitioners identify issues with their test repositories and decide on actions to improve. We conclude that the visualisation of diversity information can assist testers in their maintenance and optimisation activities