daGui: A DataFlow Graphical User Interface

Big Data is a growing trend. It focuses on storing and processing a vast amount of data in a distributed environment. There are many frameworks and tools which can be used to work with this data. Many of them utilise Directed Acyclic Graphs (DAGs) in some way. A DAG is often used for expressing the dataflow of computation as it offers the possibility to optimise the execution, because it contains the overview of the whole computation. This thesis aims to create an Integrated Development Environment (IDE) like software, which is user-friendly, interactive and easily extendable. The software enables to draw a DAG which represents the dataflow of a program. The DAG is then transformed into launchable source code. Moreover, the software offers a simple way to execute the generated source code. It compiles the code (if necessary), and launches it based on the user's configuration, either on localhost or cluster. The software primarily aims to help beginners learn these technologies, but experts can also use it as visualisation for their workflow or as a prototyping tool. The software has been implemented using Electron and Web technologies, which ensure its platform independence. Its main features are code generation (i.e. translation of a DAG into source code) and code execution. It is created with extensibility in mind, to be able to plug-in support for more frameworks and tools in the future

Identifying Requirements in Microservice Architectural Systems

Microservices and microservice architecture has grown popularity and interest steadily since 2014 but many challenges are still faced in a software project when trying to adopt the concept. This work gathers challenges, possible solutions, and requirements related to the use of microservice architecture and therefore support the work of different stakeholders in a software project using microservice architecture, while also providing more information to the research as well. The study was conducted using systematic literature review (SLR). Overall, 63 scientific publications from four different scientific databases were selected and analysed. As a result, rapid evolution, life cycle management, complexity, performance, and a large number of integrations were identified as the most common challenges of microservice architecture. Solutions such as service orchestration, fog computing, decentralized data, and use of patterns were proposed to tackle these challenges. Regarding requirements, scalability, efficiency, flexibility, loose coupling, performance, and security appeared most frequently in the literature. The key finding of this work was the importance of data. How data acts as a base for functionalities and when inaccurate can cause complex challenges and make functionalities worthless. Based on this, we have a better understanding on what challenges may occur and what to focus on while working with microservice architecture in software development