PPPJ special issue–Foreword

Abstract included in text

Building Robust E-learning Software Systems Using Web Technologies

Building a robust e-learning software platform represents a major challenge for both the project manager and the development team. Since functionalities of these software systems improves and grows by the day, several aspects must be taken into consideration – e.g. workflows, use-casesor alternative scenarios – in order to create a well standardized and fully functional integrated learning management system. The paper will focus on a model of implementation for an e-learning software system, analyzing its features, its functional mechanisms as well as exemplifying an implementation algorithm. A list of some of the mostly used web technologies (both server-side and client-side) will be analyzed and a discussion over major security leaks of web applicationswill also be put in discussion.E-learning, E-testing, Web Technology, Software System, Web Platform

Building Robust E-learning Software Systems Using Web Technologies

Building a robust e-learning software platform represents a major challenge for both the project manager and the development team. Since functionalities of these software systems improves and grows by the day, several aspects must be taken into consideration – e.g. workflows, use-casesor alternative scenarios – in order to create a well standardized and fully functional integrated learning management system. The paper will focus on a model of implementation for an e-learning software system, analyzing its features, its functional mechanisms as well as exemplifying an implementation algorithm. A list of some of the mostly used web technologies (both server-side and client-side) will be analyzed and a discussion over major security leaks of web applicationswill also be put in discussion

Quantifying and Predicting the Influence of Execution Platform on Software Component Performance

The performance of software components depends on several factors, including the execution platform on which the software components run. To simplify cross-platform performance prediction in relocation and sizing scenarios, a novel approach is introduced in this thesis which separates the application performance profile from the platform performance profile. The approach is evaluated using transparent instrumentation of Java applications and with automated benchmarks for Java Virtual Machines