Erik Kral

Towards an Empirical Analysis of .NET Framework and C# Language Features' Adoption

Software companies such as Microsoft periodically release new versions of the .NET framework and C# language suites. New features are introduced in each of these new releases. Currently, there is little or no empirical analysis of the adoption of .NET framework and C# programming language features and studies on how successfully those features are accepted by the community. The aim of this work is to create a set of long term statistics about the use of the new .NET and C# language features across existing popular libraries.

Using Build and Runtime Information for Student Adaptive Support

This paper proposes a study focused on Automatic Adaptive Support materials for students in the tuition of programming courses. The support materials, based on real-time build and runtime statistics, include suggestions for successful solutions to similar errors and tasks. A methodology and an extension for a selected Integrated Development Environment is proposed and experiments will be run with students in programming courses to evaluate this tool.

ViewModel Visualization Tool

This article proposes a tool for generating a universal view for ViewModel from Model–View–ViewModel software architectural pattern. In software development processes, it sometimes happens that developers spend a lot of time preparing mockup views for themselves or for quality assurance purposes to provide an option to test implemented features. These mockups are later replaced by a final user interface, so the time spent preparing them is wasted. The aim of this work is to create a tool which will help software engineers to present and test their codes without additional effort.

A Multiplatform Comparison of a Dynamic Compilation Using Roslyn and Mathematical Parser Libraries in .NET for Expression Evaluation

This work aims to provide a multiplatform comparison of a dynamic compilation using Roslyn and mathematical parser libraries in .NET for expression evaluation. In the first part, our own implementation of a mathematical parser, based on a new .NET compiler platform called Roslyn to implement on-fly compiling for mathematical expressions, is introduced. We then define the benchmark and perform performance measurements of our solution against selected mathematical parsers. At the end of the work, we discuss the results of the benchmark on different platforms.