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Continuous experimentation (CE) is used by many internet-facing companies to improve the value of their products based on user feedback gathered, e.g. through on-line experiments using A/B testing. Frameworks and theories for CE have been derived through academic research from applications in large internet facing companies. To assist practitioners in a broader range of companies, we herein presen
Testing autonomous driving systems for safety and reliability is essential, yet complex. A primary challenge is identifying relevant test scenarios, especially the critical ones that may expose hazards or harm to autonomous vehicles and other road users. Although numerous approaches and tools for critical scenario identification are proposed, the industry practices for selection, implementation, a
Detecting failures early in cloud-based software systems is highly significant as it can reduce operational costs, enhance service reliability, and improve user experience. Many existing approaches include anomaly detection in metrics or a blend of metric and log features. However, such approaches tend to be very complex and hardly explainable, and consequently non-trivial for implementation and e
With the dynamic nature of modern software development and operations environments and the increasing complexity of cloud-based software systems, traditional monitoring practices are often insufficient to timely identify and handle unexpected operational failures. To address these challenges, this paper presents the findings from a quantitative industry survey focused on the application of Machine
Background: Road transportation is one of the main sources of CO2 emissions. Making logistics more efficient, e.g., through co-loading freight transport, would reduce emissions. However, this requires the sharing of freight and routing data between actors in the logistics chain. Aim: This study aims to explore the literature on how Open Data Ecosystems (ODEs) can be applied to the logistics sector
Decentralized Cloud Storage (DCS) is considered to be the future for sustainable data storage within Web 3.0, in which we will move from a single cloud service provider to creating an ecosystem where anybody could be a cloud storage provider. Currently, the cloud storage market is highly dominated by centralized players like Amazon S3, Google Cloud, Box, etc. Decentralized projects like Storj, Fil
[Context] The continuous inflow of bug reports is a considerable challenge in large development projects. Inspired by contemporary work on mining software repositories, we designed a prototype bug assignment solution based on machine learning in 2011-2016. The prototype evolved into an internal Ericsson product, TRR, in 2017-2018. TRR’s first bug assignment without human intervention happened in A
In April, 2019, the author discovered that Archbishop Erling Eidem’s sermons and speeches, since 1966/1978, have been kept in the University library of Uppsala. This has been overlooked by all authors earlier dealing with Eidem, only using shortened summaries. In Lützen, on November 6, 1942, Eidem stated that »our Gustavus-Adolphuscelebration may not be characterized by national self-sufficiency a
Background and purpose: An earlier prospective randomised multicentre study (ARTSCAN) in head and neck cancer patients that compared conventionally fractionated radiotherapy (CF) with accelerated radiotherapy (AF) was inconclusive. In the subgroup of oral cavity squamous cell cancer (OCSCC) a large absolute, but not statistically significant, difference in local control was seen in favour of AF. T
Amyloid fibrils are associated with a number of neurodegenerative diseases, including fibrils of amyloid β42 peptide (Aβ42) in Alzheimer's disease. These fibrils are a source of toxicity to neuronal cells through surface-catalyzed generation of toxic oligomers. Detailed knowledge of the fibril structure may thus facilitate therapeutic development. We use small-angle scattering to provide informati
Objectives. Despite accumulating research on yoga and its positive impact on both physiological and psychological health, it is still unclear how yoga improves health. Two central components of yoga: yogic breathing and mindfulness, may be important mechanisms by which individuals learn to cope with their daily stressors, and thereby reduce their risk of developing stress-related illness. In this ObjectivesDespite accumulating research on yoga and its positive impact on both physiological and psychological health, it is still unclear how yoga improves health. Two central components of yoga, yogic breathing and mindfulness, may be important mechanisms by which individuals learn to cope with their daily stressors, and thereby reduce their risk of developing stress-related illness. In this st
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distibution detector. A small-scale study is conducted which shows that adapting camera parameters according to this out-of-distibution detector leads to an average increase of 3 to 4% poin
Ensuring functional safety is a critical challenge for autonomous robots, as they must operate reliably and predictably despite uncertainty. However, existing safety measures can over-constrain the system, limiting the robot’s availability to perform its assigned task. To address this problem, we propose a more flexible strategy that equips robots with theability to adapt to system failures and re
The Paris Agreement sets the goal of a complete global phase-out of fossil fuel use by the end of the 21st century and an 80-95% reduction of carbon emissions in affluent countries by 2050. Obviously, efficiency gains alone cannot deliver the required reductions (Alfredsson et al. 2018), due to rebound effects (York, Adua, and Clark 2022) and the increasing pace of growth (Hickel 2020). It is sugg
Context: In the contemporary body of software engineering literature, some recurrent shortcomings characterize how threats to validity (TTV) are considered in studies. Objective: With this position paper, we aim to open a discourse on the current use of TTV sections. The goal of our position is to jointly reflect and systematically improve how we, as a research community, consider TTV in our studi
Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving ‘assertions’ in software testing. Based on a term–based search, we filtered the inclusion of relevant papers and synthesised them w.r.t. the problem addressed, the s
Cloud Control Systems (CCSs) harness the power of cloud resources to carry out intense computational tasks, however, they face challenges in delivering time-critical control signals due to network and cloud-induced delays. In this paper, we introduce a novel framework, "Punctual Cloud", designed to enhance the timely delivery of control signals in CCS. This framework ensures that control signals a
STUDY QUESTION: Is the chance of childbirth, and risk of infertility, pregnancy loss and need for assisted reproduction different for women with asthma compared to women without asthma?SUMMARY ANSWER: Women with asthma had comparable chances of giving birth compared to the reference population, however, their risk of both infertility and pregnancy loss, as well their need for medically assisted re
Context: Continuous experimentation (CE) is used by many companies with internet-facing products to improve their business models and software solutions based on user data. Some companies deliberately adopt a systematic experiment-driven approach to software development while some companies use CE in a more ad-hoc fashion. Objective: The goal of this study is to identify factors for success in CE
