Automated unit test case generation tools facilitate test-driven development and support developers by suggesting tests intended to identify flaws in their code. Existing approaches are usually guided by the test coverage criteria, generating synthetic test cases that are often diffic...
The neural transformer model is pre-trained with source code programs and natural language text and fine-tuned with mapped test case pairs. A mapped test case pair includes a focal method and a unit test case for the focal method. In this manner, the neural transformer model is trained to ...
On the Evaluation of Large Language Models in Unit Test Generation Unit testing is an essential activity in software development for verifying the correctness of software components. However, manually writing unit tests is... L Yang,C Yang,S Gao,... 被引量: 0发表: 2024年 Prompting and Fine...
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation This repo contains both the defect-triggering test case generated by our study along with the code used to run the experiment. Defect Detection cd Detection Training the detection model python run.py \ --...
from transformers.generation.streamers import BaseStreamer from queue import Queue from environment import MODEL_LOGGING class SingleTokenStreamer(BaseStreamer): def __init__( self, tokenizer: AutoTokenizer, skip_prompt: bool = False, **decode_kwargs ): self.tokenizer = tokenizer self.skip_prompt ...
Intuitively, the next generation automotive ECU will have an increased power density. For instance, if a power MOSFET (Metal–Oxide–Semiconductor Field Effect Transistor) [6] with a dimension of 10.4 mm × 6.73 mm × 2.36 mm and a power dissipation rating of 83 W at 25 °C is used in...
This paper aims to develop a methodology for progressive finite element (FE) modeling of transformers, from simple to complex models of both magnetic cores... P Dular,P Kuo-Peng,MVFD Luz,... - COMPEL - The international journal for computation and mathematics in electrical and electronic engine...
|Test methodology The Llama-2 7B Chat FP32 model is exported into the Intel® OpenVINO™ format and then tested for text generation (inference) using Hugging Face Optimum 1.13.1. Hugging Face Optimum is an extension of Hugging Face transformers and Diffusers and provides tools to export and...
CNN has been widely applied in fields such as image recognition, object detection, and image generation, becoming one of the most important tools in the field of computer vision. 2.4. Gated Recurrent Unit The recurrent neural network (RNN) is a widely used neural network model designed for ...
Below, we explain the process of generating the machine learning dataset involving three steps: pneumonia patient selection, explanatory variable dataset generation, and predictive variable dataset creation. Pneumonia patient selection. We identified patients diagnosed with pneumonia-related diseases using Inter...