Now showing items 21-40 of 242

    • An Exploratory Study of Free / Libre / Open Source Software Organizations 

      KUMAR MENDU, BHARATH; SMITH SOUNDARARAJAN, JOSHUA (2015-07-20)
      Growing research on the adoption of a FLOSS ecosystem among novice adopters have been seen during the last decade. However, due to the increasing rise of novice adopters such as FLOSS organizations, firms, individual ...
    • An Investigation of Integration Debt in Continuous Integration - A design science study 

      Balavi, Pooriya; Rasku, Kevin (2019-11-19)
      Continuous integration is a commonly used method in software development. It is used to improve the development process by prescribing frequent code integration and testing and thereby creating a mechanism for early ...
    • Analyzing the override strategy for collision avoidance functions 

      Varghaei, Amir; Dehghani, Samin (2022-10-14)
      The automotive industry has been shifting towards leveraging intelligent software solutions to ensure safety and ease of use. However, ensuring safety during execution heavily depends on how the human user interacts with ...
    • API-Driven Generation of Well-Typed Terms 

      Spångberg, David (2014-09-19)
      In this thesis, a reusable library for defining generators for well-typed expressions in standard Haskell is presented. The expressions are randomly constructed from a set of functions and values specified by a user. ...
    • Application of Machine Learning Algorithms for Post Processing of Reference Sensors 

      LAMPROUSI, VASILIKI (2021-04-01)
      The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems (ADAS) in the current and future generations of vehicles include a large number of sensors which are used to perceive the vehicle’s surroundings. ...
    • Applying ChatGPT in AI-based dynamic video game narrative generation system 

      Umbraško, Arturs; Drury, Robert (2023-10-23)
      ChatGPT’s release and general availability has the potential to create new possibilities for storytelling in games. There are potential benefits of leveraging ChatGPT to generate a narrative at runtime in a video game, as ...
    • Approximating Reasoning with Transformer Language Models 

      Enström, Daniel; Kjellberg, Viktor (2023-10-19)
      We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability ...
    • Are these numbers real? 

      Griphammar, Karl (2022-10-14)
      Smart manufacturing refers to the use of digitalization for improving and automating manufacturing processes. One use case is artificial intelligence (AI) used in quality control, which can reduce production costs and ...
    • Automated Metadata Extraction for Job Advertisements 

      Strauss, Evelina; Safdar, Usama (2022-06-20)
      This thesis is written in collaboration with the Swedish Public Employment Service and aims to investigate methods and techniques to automatically extract metadata from unstructured texts. The Swedish Public Employment ...
    • Automated quality-assessment for UML models in open source projects 

      HUSSEIN, BASSEM (2019-11-19)
      Unified Modelling Language (UML) provides the facility for software engineers to specify, construct, visualize, and document the artifacts of a software system and to facilitate communication of ideas [1, 2]. It is shown ...
    • Automatic refactoring for Agda 

      Wibergh, Karin (2019-04-24)
      The task of making changes to an existing code base to improve performance, legibility, or extensibility while preserving behaviour is important to virtually any program. Many times this involves making changes requiring ...
    • Automatic Semantic Role Labelling (SRL) in Swedish 

      Yang Buhr, Lucy (2023-10-05)
      In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger ...
    • Benchmarking Deep Learning Testing Techniques A Methodology and Its Application 

      Chuphal, Himanshu; Dimitrov, Kristiyan (2020-07-06)
      With the adoption of Deep Learning (DL) systems within the security and safetycritical domains, a variety of traditional testing techniques, novel techniques, and new ideas are increasingly being adopted and implemented ...
    • Benchmarking Machine Learning Methods for Peptide Activity Predictions 

      Knutson, Boel; Meskini Moudi, Lida (2022-10-14)
      One of the main challenges in the drug discovery process is to find a suitable compound for further analysis. The compound must affect the target relevant for the specific disease, while at the same time have desired ...
    • Bioinformatics pipeline development to support Helicobacter pylori genome analysis 

      SHAGHAYEGH HOSSEINI, SEYEDEH (2016-09-20)
      Helicobacter pylori is a bacterium related to a variety of diseases and is a major risk factor for gastric cancer [1]. There can be differences in the genomes of H. pylori bacteria that are isolated from different patient ...
    • Brandlink Business-to-Business E-commerce web Solution 

      Arif, Muhammad; Nasir Janjua, Muhammad Ali (2014-02-19)
      Today, business is moving rapidly towards web technologies due to their portability, efficiency and multi-platform compatibility. Web technologies are impacting the way of businesses and their management. It is very ...
    • Challenges in Specifying Safety-Critical Systems with AI-Components 

      Malleswaran, Iswarya; Dinakaran, Shruthi (2023-09-26)
      Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the ...
    • City Safety Event Classification using Machine Learning 

      Jurczynska, Natalia (2019-11-21)
      City safety technology aims to reduce vehicle collisions using activated warnings and braking based on automated detection of environmental threats. However, automatic detection of tentative collisions may differ from ...
    • Classification of role stereotypes for classes in UML class diagrams using machine learning 

      Ahmed, Jobaer; Huang, Maoyi (2021-03-03)
      Software development process is becoming inherently complex in recent decades. To reduce the complexity in the development process developers, software practitioners are constantly looking for newer approach. One approach ...
    • CNN-LSTM architecture for predicting hazardous driving situations 

      Lindblad, Noomi; Platakidou, Stefani (2023-10-05)
      This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of ...