Search Results for author:
Found 3 papers, 1 papers with code
A Comprehensive Study of Machine Learning Techniques for Log-Based Anomaly Detection
The experimental results show that supervised traditional and deep ML techniques fare similarly in terms of their detection accuracy and prediction time.
An AI-based Approach for Tracing Content Requirements in Financial Documents
Then, FITI uses a combination of rule-based and data-centric approaches, by leveraging information retrieval (IR) and machine learning (ML) techniques that analyze the words, sentences, and contexts related to an information type, to rank candidate sentences.
Empirical Standards for Software Engineering Research
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e. g. a questionnaire survey).
Software Engineering General Literature
