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This study compares the performance of two popular cross-platform mobile application development frameworks, Flutter and React Native. As the number of mobile users continues to grow, the ability to target multiple platforms using a single codebase is increasingly important for developers and companies. We conducted three manual UI tests; scrolling through a list, testing the camera, and filtering a large dataset to measure the performance of the frameworks in terms of CPU usage, memory usage, and janky frames on an Android device. The results indicate that Flutter may provide better performance in specific situations when compared to React Native. The study contributes to the existing research by providing additional insights into the performance of these frameworks under specific test scenarios.

The emergence of the Internet has allowed businesses to create new sales and marketing channels to provide value for their customers in the marketplace. Engineering manufacturers and suppliers have taken advantage of the internet to automate the customer service aspects of their businesses as well as to market their services in a cost-effective but widespread manner. This work aims to apply the practices and benefits of electronic commerce (e-commerce) to a material testing laboratory through the creation of a functioning website with e-commerce features. The effects of Search Engine Optimization, website accessibility issues, marketing considerations, security concerns, and common business models and strategies regarding web development are examined. Features such as an automated quoting system and a customer portal are also implemented for use at a material testing laboratory.

The project explores the contribution of digital platforms to Social Sharing, a term used for the nonreciprocal, social aspect of Sharing, in the context of a local neighbourhood. Sharing is considered a way to create more sustainable ways of living and empower community engagement in cities.  The project used participatory design processes to create a conceptual prototype of a Sharing Platform. The platform proposes a digital whiteboard as a communication tool among residents and a board of Sharing actions modules to trigger residents' imagination on what can be shared. The outcomes of the process also entailed connections among stakeholders and the potential of new sharing initiatives. The project provides insights into methods for designing feasible solutions for the future using playfulness. It discusses how trust and access are established through digital platforms. Finally, it argues for the role of the latter as facilitators for social exchange in place.

This report describes a project aimed at determining the angle of the landing platform to the drones using a tilted platform, IMU, and image processing algorithms. The goal of this project is to determine the safe landing of drones and drone landings by optimizing the landing location via platform tilt adjustment and angle computation. A robotic arm was used to tilt the rectangular platform, and a web camera was used to get images from the top view. Image processing methods built-in MATLAB allow for approximate landing angle determination and angle determination is also done with IMU. The findings confirm the system’s efficiency, with reasonable angle estimates and successful drone landings.

Background: In today's digital world, there is increasing importance on cross-platform performance testing and the challenges faced by businesses in achieving efficient performance for applications across multiple platforms. Predictive models, such as machine learning and regression, have emerged as potential solutions to predict performance to be quickly analyzed, thus eliminating the need to execute an entire environment. Predicting performance can help firms save time and resources to keep pace with market demand, but potential risks and limitations need to be considered. With the increasing availability of data, predictive models have become effective problem-solving methods in various industries, including the testing industry. Objectives: This research aims to investigate the economic consequences and opportunities of implementing predictive models to predict cross-platform performance for firms operating in the software market and evaluate the performance of three models when predicting cross-platform performance. The study aims to add arguments to help businesses make informed decisions on the adoption of predictive models. Methods: The methodology employed in this research involved evaluating Multiple Linear Regression, Multiple Neural Network, and Random Forest, to gain insight into how such models perform when predicting performance. In addition to this analysis, interviews were conducted with industry experts to get an understanding of current processes and the potential benefits of adopting predictive models to identify the economic consequences of implementing such models. Results: The result shows that Multiple Linear Regression was the most promising one, with an R2 value of 0.79. Additionally, the research revealed that the current testing process faces difficulties when testing on multiple platforms. While predicting performance can provide cost and time savings, challenges and risks, such as data privacy and model trust, must also be considered. Conclusions: Multiple Linear Regression exhibited the most favorable performance among the evaluated models, with consistent results across all test runs and indicating a linear relationship. The economic consequences identified were the continuously required maintenance and updates of predictive models to remain accurate throughout the lifecycle. This implies ongoing costs, such as the complexity and cost of generating and storing the necessary data to train the models. Thus, the adoption of predictive models is still in its early stages, and while there are significant benefits, there are also challenges to address.

Purpose - This thesis aims to explore how employee coaching leads to employee well-being and what features a digital platform for coaching should integrate to ensure employee well-being. This will be done by answering the following research questions; (1) How does employee coaching contribute to employee well-being? and (2) What features should be integrated in a digital platform for employee coaching to foster employee well-being? Method - The study is a single case study where a Swedish consultancy firm that utilises managerial coaching was investigated. An abductive research approach was chosen, and 19 interviews were conducted with employees at the case company and thematic analysis was used to analyse the data. Findings - The findings of the research include how the six explored components for employee well-being were influenced by employee coaching, which feature categories are crucial for the creation of a platform for coaching and what risks the features can help mitigate. Lastly a summary figure that illustrates the interrelations between digital features, risks the employee well-being components is presented. Theoretical contribution - This study adds to existing literature in three ways. First, it contributes to a more nuanced understanding of coaching and its connection to employee well-being. Second, it contributes to a deeper understanding of the correlation between specific features and its outcome on employee well-being. Third, risks associated with the digital platform for employee coaching fostering well-being are presented and how features can be utilised to mitigate or decrease those risks. Practical contribution - The study provides a foundation for the creation of a digital platform as an aid for the coaching process. Practical contributions include guidelines for managers on how to introduce such a tool in an organisation, the importance of individual adaptation and how to handle data sharing. Limitations of the study - The study's main limitation is that it is a single case study, this implies that the research is limited to the case company's individual thoughts and experiences, which in this case is limited to one year of coaching experience. / Syfte - Syftet med studien är att undersöka hur coachning av anställda kan bidra till anställdas välmående samt vilka features en digital plattform kan integrera för att säkerställa anställdas välmående. Detta genom att besvara följande forskningsfrågor; (1) Hur bidrar coachning av anställda till välmående? och (2) Vilka features bör en digital plattform för coachning av anställda ha för att främja välmående? Metod - Studien är en enskild fallstudie av ett svenskt konsultbolag som nyttjar managerial coaching. En abduktiv forskningsansats utsågs lämpad, studien bestod av 19 intervjuer med anställda på företaget och en tematisk analys nyttjades sedan för att analysera datan. Resultat - Resultatet inkluderar hur de sex komponenterna av anställdas välmående blir påverkade av coachning, vilka featurekategorier som är kritiska för skapandet av en digital plattform för coachning och risker features kan mildra. Teoretiskt bidrag - Studien bidrar till existerande litteratur på tre sätt. Först, bidrar det till en mer nyanserad förståelse av coachning och dess påverkan på anställdas välmående. Sedan bidrar det till en djupare förståelse för korrelationen mellan specifika features kategorier och dess påverkan på anställdas välmående. Slutligen, presenteras risker kopplade till en digital coaching plattform för anställdas välmående samt hur olika features kan nyttjas för att mildra dessa risker.  Praktiskt bidrag - Studien bidrar till en grund chefer kan nyttja inför skapandet av en digital coaching plattform för anställdas välmående. Det praktiska bidraget inkluderar riktlinjer för hur chefer ska introducera och integrera en sådan digital plattform i organisationen, vikten av individanpassning och hur data ska hanteras och delas. Studiens begränsningar - Den huvudsakliga begränsningen är att studien är en enskild fallstudie vilket begränsar den till fallföretagets specifika upplevelser och tankar, vilket är begränsat till ett års erfarenhet av coaching av anställda.

Low-code development is an alternative to regular software development where the developer is able to build software and websites using a drag and drop interface instead of writing code. Low-code development has gained popularity in recent years, one of the reasons for this is the broader targeted audience which is citizen developers, people with no previous knowledge and experience in programming and web development. However it is unclear if low-code development can uphold the standards set by software development best practices. The purpose of this study is to investigate how low-code development corresponds to best practices in software development. Maintainability, flexibility, portability, reusability, readability, and testability are the six best practices that are specifically investigated in this study. Design and creation was used as the methodology to investigate whether these best practices can be used in low-code development. A system and a website was built in partnership with CGI, using Microsoft Power Platform as the low-code development tool.  The findings of the study indicate that low-code development has a number of limitations when compared to best practices in software development. The limited ability to customize code makes it difficult to accomplish maintainability, flexibility, and testability in low-code development. Additionally, it might be challenging to accomplish portability because low-code development platforms are not always interoperable, and reusability is limited due to the differences in implementation between platforms. Furthermore, it is often difficult to follow the logic flow of a low-code system which makes readability a challenge in low-code development.  While some best practices can be adapted to low-code development, the study draws the conclusion that low-code development still has a long way to go before it can fully live up to best practices in software development. In summary, this study highlights the limitations of low-code development in comparison to best practices for software development and proposes that additional research is required to overcome these limitations.

Engineered to Order (ETO) products can benefit from the concepts and tools offered by Product and Platforms Line Engineering (PLE) (such as increased variety offer and efficient use of resources), and CAD/PLM (Computer Aided Design/Product Life-cycle management) in order to gain competitiveness. This paper portrays a framework for describing and measuring the processes that conform that connection between PLE and CAD; presents a description of the key components of the entire process, their relationships, as well a set of metrics for assessing the ability of a process for creating Geometrical CAD Platforms. A case study of an ETO product development with the implementation of this framework is presented in two different scenarios for validating the concepts exposed and demonstrating the use of the framework for assessing the capability of an organization for creating 3DCAD platforms for ETO Products.

In today’s modern society large amounts of learning materials and lectures have beendigitalized and made available in different forms as video, text and images on variousplatforms. Platforms specific to e-learning are common and having a design that is bothresponsive and with high usability plays a great part in how users can absorb information.Making content available across different devices in a usable way enables users to performsome (if not all) tasks on devices more suitable "on the go", like mobile phones or tables.This thesis concerns the development and evaluation of an usable and responsive ad-ministration tool for e-learning. The intent of the tool is to improve and possibly replacethe platforms used today by adding missing functionality in the current tools. The imple-mented tool is evaluated using heuristic evaluation on both desktop and mobile devices inorder to evaluate the usability and responsiveness of the design.