The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

With the continuous development of networks, web-based e-learning is changing the way
people acquire knowledge. An increasing number of learners are eager to acquire more …

Context Bug localization, namely, to locate suspicious snippets from source code files for
developers to fix the bug, is crucial for software quality assurance and software …

Background: Correctly localizing buggy files for bug reports together with their semantic and
structural information is a crucial task, which would essentially improve the accuracy of bug …

The objective of this research is to devise a personalized recommendation system for a
freelancing platform to optimize the freelancer project matching process. This enhancement …

Given a bug report of a project, the task of locating the faults of the bug report is called fault
localization. To help programmers in the fault localization process, many approaches have …

Nowadays, vulnerabilities in open source software (OSS) are constantly emerging, posing a
great threat to application security. Security patches are crucial in reducing the risk of OSS …

Fixing software bugs and adding new features are two of the major maintenance tasks.
Software bugs and features are reported as change requests. Developers consult these …