Sökning: "software engineering"
Visar resultat 16 - 20 av 1849 uppsatser innehållade orden software engineering.
16. A Software Process Workflow for Smart Anomaly Detection Systems
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The use of smart anomaly detection systems is set to increase at organisations during the Industry 4.0 era, for use in Predictive Maintenance (PdM). LÄS MER
17. Exploring Challenges in Global Software Development
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Global Software Development (GSD) is a growing trend in the field of software engineering. However, despite its numerous benefits, GSD often encounters challenges in collaboration, leading to compromised product quality. LÄS MER
18. Comparing the Locality Preservation of Z-order Curves and Hilbert Curves
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Developing and testing software in the automotive industry and in the research of autonomous vehicles requires the costly querying of multidimensional data recorded from such a vehicle’s various sensors. Through encoding such data using space filling curves, faster queries could be achieved by reducing multiple dimensions into a singular dimension, while exploiting the patterns that emerge in the one-dimensional representation to still get accurate search results. LÄS MER
19. Evaluating and extending the feature model process: a case study
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The development of software product lines (SPLs) has revolutionized software engineering by enabling efficient creation of diverse software systems through the selection of feature combinations. Feature models serve as a critical tool in the context of SPLs. LÄS MER
20. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the efficacy of ChatGPT in generating software requirements and compares its performance to human participants through an experimental study. The study addresses three main research questions (RQs), examining how ChatGPT-generated requirements align with human-written requirements, the variation in quality between different versions of ChatGPT using two additional sub-questions that look at improvement in quality from feedback and consistency of quality when the same prompt is queried multiple times, and the capacity of the Content at Scale AI detector in identifying AI-generated requirements. LÄS MER