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Background: Despite the mutual benefit of the industry-academia partnership, the level of joint work is still low. For this reason, the interest in connecting research and practice has increased recently in the academic community. Objective: This research aims to design and apply approaches to improve the knowledge exchange between academic researchers and software engineering practitioners. Metho
Context: The changes that are taking place with respect to environmental sensitivity are forcing organizations to adopt a new approach to this problem. Implementing sustainability initiatives has become a priority for the social and environmental awareness of organizations that want to stay ahead of the curve. One of the business areas that has, more than others, proven to be a vital asset and a p
The prevalence of Artificial Intelligence (AI) in the business landscape is indisputable. However, there are considerable gaps between the visionary ideas businesses communicate and their operational use of AI. The goal of this market survey is to identify companies currently working with AI in the Øresund Region - referred to as AI companies. The survey, conducted between June and September 2020,
Unfair work distribution is common in project-based learning with teams of students. One contributing factor is that students are differently skilled developers. To mitigate the differences in a course with group work, we introduced mandatory programming lab sessions. The intervention did not affect the work distribution, showing that more is needed to balance the workload. Contrary to our goal, t
The semantics of programming languages comprise many concepts that are alternatives to each other, such as by-reference and by-value parameter passing. To help teach these concepts, Diwan et al. introduced the programming language Mystery, with fixed syntax but configurable semantics, and described how this language enables new approaches to teaching programming languages concepts. In this paper,
Reference attribute grammars (RAGs) have reached a level of maturity where they are supported by several tools, and have gained traction in both academic and industrial language tool development. However, despite a lot of accumulated knowledge of how to best develop RAGs in practice, there is limited support to guide practitioners.In this paper, we address this issue by focusing on one RAG tool, J
This paper is a qualitative scrutiny of two crisis evaluations conducted by the Congressional Research Service (CRS). The purpose is to investigate rhetoric used to analyse and assess the 2010 earthquake in Haiti and the 2011 drought in the Horn of Africa from a crisis management and disaster preparedness perspective. A modified grounded theory method is utilised. The qualitative method rests upon
In an era of global migration, where public discourse often assumes that migrants lack exposure to and command of local majority language(s), it is a crucial research task to understand how migrants learn and use new languages in their everyday lives. This study provides empirical evidence about the quantity and nature of everyday language exposure and use (LEU) among migrants in Sweden. Using the
Purpose: Ocular coherence tomography (OCT) biomarkers have previously been able to predict low visual acuity (VA). The purpose of this study was to identify other OCT predictors for a final VA ≤35 and risk factors for macular atrophy (MA) in eyes with neovascular age-related macular degeneration (nAMD). Methods: This retrospective observational study included 107 treatment naïve nAMD eyes who init
The accurate representation of mixed-phase monsoon clouds and their phase distribution is of great importance for numerical models used to predict monsoon rainfall. Therefore, it is essential for these models to correctly capture the phase fraction of clouds, which includes the proportions of liquid and ice. Ice particle formation in clouds occurs through primary ice production and secondary ice p
This thesis explores the challenges and advancements in high-dimensional Bayesian optimization (HDBO), focusing on understanding, quantifying, and improving optimization techniques in high-dimensional spaces.Bayesian optimization (BO) is a powerful method for optimizing expensive black-box functions, but its effectiveness diminishes as the dimensionality of the search space increases due to the cu
Drought is a significant natural hazard that severely challenges water resource management and agricultural sustainability. This study aims to propose a novel approach for predicting streamflow drought indices (SDI-3, SDI-6, and SDI-12) in humid continental (Stockholm) and semi-arid (ELdiem) climates at different time-steps. The approach utilizes a Quantile Regression Neural Network (QRNN) coupled
Background: Eating disorders significantly impact physical health and have negative psychosocial consequences. The global burden of anorexia nervosa and bulimia nervosa among young females is estimated to account for 1.9 million disability-adjusted life years. Early identification of disordered eating attitudes is critical for preventing the progression to more severe forms of eating disorders; ho
Could maintainability requirements help organizations prioritize technical debt management? The new standard ISO/IEC 5055 Automated Source Code Quality Measures can be used to set targets. We also look at a pragmatic way to turn CodeScene’s code health metric into a quality gate for pull requests.
As a general-purpose technology, large language models promise to enhance various software engineering tasks. But how will they impact requirements engineering? This column offers a summary of an expert panel discussion from the 2023 International Requirements Engineering Conference in Hanover, Germany.
In Memoriam
A large number of cities have created semantic 3D city models, but these models are rarely used as input data for simulations, such as noise and flooding, in the urban planning process. Reasons for this are that many simulations require detailed land cover (LC) and elevation data that are often not included in the 3D city models, and that there is no linkage between the elevation and land cover da
Purpose: Positron emission tomography (PET) is increasingly used in neuro-oncology. However, little is known about its application across European institutions and reasons for variable implementation. Methods: Between June and August 2024, members of the European Organisation for Research and Treatment of Cancer - Brain Tumour Group (EORTC-BTG) completed a cross-sectional online survey on PET use
The aim of this thesis is to make it simple and efficient to produce applications for smartphones. The main area of application is within the health care sector, where alarm receiving devices are needed to inform personnel of pending situations. Most medical alarm systems are unique and hence require a unique GUI (Graphical User Interface). However, at the core, the main functionality is to commun
The impact of climate on the annual cycle and interannual variability of CO2 fluxes is assessed in European evergreen needleleaf forests (ENFs) and deciduous broadleaf forests (DBFs) using observations from 19 sites, alongside outputs from process-based and data-driven models. All models capture the temporal phasing of CO2 fluxes, including a shorter sequestration period in northern rather than so
