Browsing Department of Computer Science and Engineering / Institutionen för data- och informationsteknik by Title
Now showing items 372-391 of 616
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Machine Learning for Detecting Hate Speech in Low Resource Languages
(2020-07-08)This work examines the role of both cross-lingual zero-shot learning and data augmentation in detecting hate speech online for low resource set-ups. The proposed solutions for situations where the amount of labeled data ... -
Machine learning for molecular property prediction and drug safety
(2023-10-23)Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction ... -
Machine Learning for Reducing the Effort of Conducting Systematic Reviews in SE
(2015-05-05)Objective : To investigate whether machine learning and text-based data mining can be used to support the primary studies selection process and decrease the needed efforts in systematic reviews conducted in the context ... -
Machine Learning for Suicide Risk Assessment on Depressed Patients
(2019-11-21)Suicide is a global phenomena and the leading cause of death in some countries and age groups, accounting for nearly 1 million deaths and 10 million attempts per year. It costs society a substantial amount of money both ... -
Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
(2023-03-22)Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic ... -
Machine Learning to Uncover Correlations Between Software Code Changes and Test Results
(2017-12-05)Statistics show that many large software companies, particularly those dealing with large-scale legacy systems, ultimately face an ever-growing code base. As the product grows, it becomes increasingly difficult to adequately ... -
Managing Software Development in a Small Non-IT Company – A Case Study
(2023-08-03)We have done a case study on a small sheet metal construction company in Sweden that is developing their own software that will be beneficial for their business. We interviewed staff from different roles in the company and ... -
Mapping Reference Architecture on Third Party Mobile Devices - a Case Study from Volvo IT
(2012-08-06)The increasing demands on using mobile technologies, leads to the raise of lacking the unstructured mobile applications. Some companies have introduced guidelines and standards within their organizations to reduce the ... -
Market Driven Requirements Engineering Strategy for Startups
(2019-11-12)This report investigates the concept of requirements engineering in startups. There are well known best-practices in requirements engineering in software engineering domain for large businesses, but there is a lack of ... -
Maskininlärningsmetoder tillämpade på StarCraft 2 - En undersökning av reinforcement och imitation learning
(2020-10-29)Inom artificiell intelligens, som kontinuerligt utvecklas, har maskininlärning tagit en central roll. Medan regelbaserad AI varit tillräcklig för att lösa grundläggande uppgifter behöver dagens utmaningar mer avancerade ... -
Masters Thesis - Estimating Overlap of Verification and Testing Efforts Between Different Test Levels
(2022-10-10)Context: Embedded systems (ES) are continuously growing in complexity and size in the automotive industry. The embedded software makes a larger part of the ES. Likewise, the testing process has become complex, larger, ... -
MatCoachen Utveckling av en motor för matplanering
(2017-08-09) -
Measurement and Analysis of the Direct Connect Peer-to-Peer File Sharing Network
(2010-03-08)Online social networks and peer-to-peer file sharing networks create a digital mirror of human society, providing insights in social dynamics such as interaction between entities, structural patterns and flow of information. ... -
Measuring Agility- A Validity Study on Tools Measuring The Agility Level of Software Development Teams
(2015-08-12)Context: In the past two decades, an increasing number of software development teams have been transitioning to agile. As a result, a need has emerged for measuring how agile these teams are. To satisfy this need, many ... -
Measuring the Abstraction Gain of Code-Near Models
(2016-06-27)Abstraction in computer science is defined as the simplification of a system. Nevertheless, abstraction is also relevant in software engineering when we deal with Model Driven Development (MDD). What interest software ... -
Measuring the Impact of Changes to the Complexity and Coupling Properties of Automotive Software Systems
(2011-10-17)BACKGROUND: In the past few decades, exponential increase in the amount of software used in cars has been recorded. Complex software is hard to maintain, especially due to constant changes which are essential in a car ... -
Method and Tooling for Automated Conformance Checking between Architecture - design and Implementation
(2023-10-25)Many software and/or automotive companies use UML models to write the requirements and later they are implemented by coding. Involving multiple engineers from different teams makes the whole process complex and cumbersome. ... -
Metrics for Maintainability of Executable Models
(2019-11-12)Model-based software development plays a key role in modern day industries and the size and complexity of it is increasing constantly. However far too little attention has been paid to maintainability quality characteristics ... -
Metrics for optimizing post-release configuration of in-vehicle software
(2018-03-27)Complex software architectures and designs to support more and more functionalities, higher software quality and faster time to market requires an optimal decision making. A measurement framework, which is developed based ... -
Metrics to mesure the impact of continuous integration- An empirical study
(2015-05-05)The purpose of this paper is to investigate the impact of the continuous integration in large global organizations and find suitable metrics to measure these impacts. Continuous integration is a practice within agile ...