Sökning: "software metric"
Visar resultat 1 - 5 av 120 uppsatser innehållade orden software metric.
1. Investigating the Accuracy of Metric-Based versus Machine Learning Approaches in Detecting Design Patterns
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Design pattern detection approaches have evolved, with machine-learning methods gaining prominence. However, implementing machine-learning models can be challenging due to extensive training requirements and the need for large labeled design pattern datasets. LÄS MER
2. Shape depiction using Local Light Alignment : Evaluating the shape enhancement capabilities of the Local Light Alignment technique at multiple scales
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Local Light Alignment is a new shading based technique in the field of shape depiction, a field which concerns itself with techniques to represent and enhance the three-dimensional (3D) shape of objects in two-dimensional (2D) visual media. The main idea of Local Light Alignment is to locally adjust the incoming direction of light to create contrast in a way that enhances the perception of shape and surface detail. LÄS MER
3. Finding Causal Relationships Among Metrics In A Cloud-Native Environment
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. LÄS MER
4. Ranking Software Reliability Measures using Best Worst Multicriteria DecisionMaking Method
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Background: The production of high-quality software products has been a long-standing challenge for the software industry. The advent of agile software development methodologies has resulted in a significant acceleration in the development pace. LÄS MER
5. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER