The objective of this study has been to examine the portability of Moni- tor ERP System AB’s existing .NET Framework codebase to .NET Core. The study has been conducted by examining the portability of Monitor’s projects by using Microsoft’s .NET Portability Analyzer and visualizing the dependencies of projects by using AsmSpy to gain an understanding of what order projects need to be ported. An examination of used third-party libraries has also been conducted to see which libraries are not compatible with .NET Core. And an attempt to port Monitor’s root solution has been made as a proof-of-concept and to make test and build duration compar- isons between the ported solution and the old solution. The .NET Porta- bility Analyzer reported that 19 projects aren’t 100% compatible with .NET Core (+ Windows Compatibility Pack) where some projects have one miss- ing API call while others have many more. The third-party library examina- tion showed that two libraries are not compatible with .NET Core, the first is Dynamsoft Dynamic .NET TWAIN SDK which can probably be replaced with VintaSoft Twain .NET SDK, and SAP SQL Anywhere which doesn’t have a direct replacement. The results of the comparison show that test duration speeds improved on average by 22.5% with a peak of 67.6%, and build duration differences were negligible. Porting to .NET Core will not be easy, but if fixes for the 19 incompatible Monitor projects are completed and a replacement for SQL Anywhere can be found, then Monitor ERP System AB can make a successful port to .NET Core.

In the realm of software engineering, understanding the architecture and measuringthe quality of a source code is essential for maintaining and enhancing softwaresystems. However, many existing tools fall short in evaluating architectural aspects,such as detecting architectural erosion or addressing architecture-related metrics andconstraints tailored to the unique context of their systems or organisations. Thisdeficiency restricts proactive architecture governance and hinders the mitigation ofarchitecture-related risks, creating a critical gap in the analysis of software sourcecode. This thesis presents a novel approach to tackle these challenges. It proposes a graphdatabase as a data structure for analysing the source code and architecture quality andcalculating various architectural metrics of interest. The tool developed in this thesisrepresents the source code structural elements and their relationships in the graphdatabase, enabling an intuitive analysis of the source code architecture. The tool also integrates different code quality metrics parsed from Visual Studiocode metrics results, mapped to their correspondent nodes to assess the source codeoverall quality and identify potential areas of improvement. This empowers softwareengineers and developers to make informed decisions regarding refactoring, codeoptimisation, and architectural enhancements. Furthermore, the tool allows users to define the intended architecture in terms ofmodules to reveal any Architecture erosion (AEr). It also provides the flexibility toestablish custom constraints and metrics through tailored queries, accommodating theunique requirements of their system and company. A case study conducted on a real-world software project validates the effectivenessand usefulness of the proposed approach. The case study demonstrates how the toolanalysis reveals valuable insights into the source code health and identifies patternsthat can impact maintainability and scalability. The results of this research showcasethe potential of our tool as a powerful instrument for analysing the code qualityand architecture of source code, fostering more resilient and sustainable softwaresystems.