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Visar resultat 21 - 25 av 110 uppsatser innehållade orden file size.
21. The Effects of qualitative Attributes of Sustainability Reports on Investors Trading Behavior
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : The importance of adopting sustainable measures in running businesses under different sectors is becoming more important. Many companies care more about sustainability these days, while they were considering only their financial goals previously. Companies become aware of their social and environmental impacts and responsibilities. LÄS MER
22. Sequential Anomaly Detection for Log Data Using Deep Learning
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an organization. LÄS MER
23. Towards automatically generating explanations of software systems Generating explanations of a web-template system in different abstraction levels
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Traditional software documentation is often challenging to manage as its content grow. For example, information becomes scattered, information become hard to retrieve and the documentation has to satisfy multiple different stakeholders. The aim of this study was to find ways to address these challenges. LÄS MER
24. Compressibility as Proxy for Readability
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och systemvetenskapSammanfattning : This study’s main objective is to examine if there is acorrelation between readability and compressibility of Java code. The code readability is important to softwaremaintainability and the comprehension of the code, and thiscan be verified and tested with a range of different metricssuch as B&W, Scalabrino and Dorn’s readability metric. LÄS MER
25. Advanced Algorithms for Classification and Anomaly Detection on Log File Data : Comparative study of different Machine Learning Approaches
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : Background: A problematic area in today’s large scale distributed systems is the exponential amount of growing log data. Finding anomalies by observing and monitoring this data with manual human inspection methods becomes progressively more challenging, complex and time consuming. This is vital for making these systems available around-the-clock. LÄS MER