Essays about: "Accuracy"
Showing result 1 - 5 of 5611 essays containing the word Accuracy.
-
1. A Case Study on the Limitations of Automated Duplicate Bug Report Detection
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Identifying duplicate bug reports is crucial in software development as it helps streamline the debugging process, reduce redundancy, and enhance overall efficiency. By addressing the challenges associated with existing automated techniques and leveraging testers’ expertise, the tool proposed in this study aims to improve the accuracy of duplicate detection, saving valuable time and resources while ensuring that potential duplicates are not overlooked. READ MORE
-
2. Prompt engineering guidelines for LLMs in Requirements Engineering
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The rapid emergence of large generative AI models has demonstrated their utility across a multitude of tasks. Ensuring the quality and accuracy of the models’ output is done in different ways. In this study, we focused on prompt engineering. READ MORE
-
3. Assessing the Costs and Benefits of Proactively Adding Features in opensource system Bitcoin-Wallet: A Simulation study
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Objective: This paper builds on previous research and expands on the cost-benefit analysis of proactive feature annotation, with a focus on using Java to validate the findings from a real-world case study. Background: The significance of features within a system lies behind the need to locate them as they often necessitate identification for enhancement, and editing-related activities. READ MORE
-
4. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE
-
5. Investigating the Accuracy of Metric-Based versus Machine Learning Approaches in Detecting Design Patterns
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE
