Enabling the evolution of J2EE applications through reverse engineering and quality assurance

Enterprise Applications are complex software systems that manipulate much persistent data and interact with the user through a vast and complex user interface. In particular applications written for the Java 2 Platform, Enterprise Edition (J2EE) are composed using various technologies such as Enterprise Java Beans (EJB) or Java Server Pages (JSP) that in turn rely on languages other than Java, such as XML or SQL. In this heterogeneous context applying existing reverse engineering and quality assurance techniques developed for object-oriented systems is not enough. Because those techniques have been created to measure quality or provide information about one aspect of J2EE applications, they cannot properly measure the quality of the entire system. We intend to devise techniques and metrics to measure quality in J2EE applications considering all their aspects and to aid their evolution. Using software visualization we also intend to inspect to structure of J2EE applications and all other aspects that can be investigate through this technique. In order to do that we also need to create a unified meta-model including all elements composing a J2EE application.

Software Engineering and eLearning: The MuSofT Project

eLearning supports the education in certain disciplines. Here, we report about novel eLearning concepts, techniques, and tools to support education in Software Engineering, a subdiscipline of computer science. We call this "Software Engineering eLearning". On the other side, software support is a substantial prerequisite for eLearning in any discipline. Thus, Software Engineering techniques have to be applied to develop and maintain those software systems. We call this "eLearning Software Engineering". Both aspects have been investigated in a large joint, BMBF-funded research project, termed MuSofT (Multimedia in Software Engineering). The main results are summarized in this paper.

Self-control strength in the relation between trait test anxiety and state anxiety

The present research examined whether in a test situation, the relation between trait test anxiety and state anxiety depends on the momentary availability of self-control strength. Since self-control strength is crucial for emotion regulation, we assume that trait test anxiety is more closely related to state anxiety if self-control strength is depleted than if it is not depleted. We conducted an experiment with 119 undergraduates in which we measured trait test anxiety, manipulated availability of self-control strength, and assessed state anxiety after a test announcement. Consistent with the assumption, multiple regression analyses revealed that trait test anxiety and state anxiety were positively related if self-control strength was depleted, but were not related if self-control strength was intact.

An 'Ideal' Decomposition of Industry Dynamics: An Application to the Nationwide and State Level U.S. Banking Industry

This paper considers the aggregate performance of the banking industry, applying a modified and extended dynamic decomposition of bank return on equity. The aggregate performance of any industry depends on the underlying microeconomic dynamics within that industry . adjustments within banks, reallocations between banks, entry of new banks, and exit of existing banks. Bailey, Hulten, and Campbell (1992) and Haltiwanger (1997) develop dynamic decompositions of industry performance. We extend those analyses to derive an ideal decomposition that includes their decomposition as one component. We also extend the decomposition, consider geography, and implement decomposition on a state-by-state basis, linking that geographic decomposition back to the national level. We then consider how deregulation of geographic restrictions on bank activity affects the components of the state-level dynamic decomposition, controlling for competition and the state of the economy within each state and employing fixed- and random-effects estimation for a panel database across the fifty states and the District of Columbia from 1976 to 2000.

An 'Ideal' Deconposition of Industry Dynamics: An Application to the Nationwide and State Level U.S. Banking Industry

This paper considers the aggregate performance of the banking industry, applying a modified and extended dynamic decomposition of bank return on equity. The aggregate performance of any industry depends on the underlying microeconomic dynamics within that industry --- adjustments within banks, reallocations between banks, entry of new banks, and exit of existing banks. Bailey, Hulten, and Campbell (1992) and Haltiwanger (1997) develop dynamic decompositions of industry performance. We extend those analyses to derive an ideal dynamic decomposition that includes their dynamic decomposition as one component. We also extend the decomposition, consider geography, and implement decomposition on a state-by-state basis, linking that geographic decomposition back to the national level. We then consider how deregulation of geographic restrictions on bank activity affects the components of the state-level dynamic decomposition, controlling for competition and the state of the economy within each state and employing fixed- and random-effects estimation for a panel database across the fifty states and the District of Columbia from 1976 to 2000.

Church and State

Church and state have historically had an uneasy relationship, sometimes close allies, at others harsh adversaries, and at still others largely independent of one another. This paper develops an economic model of this relationship, where the state's objective is to maximize net tax revenue, while the church provides religious goods. Religious goods benefit the state in two ways: first, they provide utility to citizens, thus allowing the state to extract more taxes before running up against citizens' reservation utility (the point at which they would revolt), and second, they potentially provide legitimacy to the state, thereby lowering the costs of tax collection. If the latter effect is strong enough, the state may find it optimal to take control of the church, either to enhance its legitimizing effect, or to suppress its de-legitimizing effect. To evaluate the model's implications, we use recent cross-country data on the relationship between religion and state, including measures coded from the 2001, 2003, and 2005 International Religious Freedom reports. We also examine in more detail some of the paradigmatic cases indicated by the model, presenting various types of evidence from current and historical examples of each case.