Opportunities And Challenges In Code Search Tools,
2022
Singapore Management University
Opportunities And Challenges In Code Search Tools, Chao Liu, Xin Xia, David Lo, Cuiying Gao, Xiaohu Yang, John Grundy
Research Collection School Of Computing and Information Systems
Code search is a core software engineering task. Effective code search tools can help developers substantially improve their software development efficiency and effectiveness. In recent years, many code search studies have leveraged different techniques, such as deep learning and information retrieval approaches, to retrieve expected code from a large-scale codebase. However, there is a lack of a comprehensive comparative summary of existing code search approaches. To understand the research trends in existing code search studies, we systematically reviewed 81 relevant studies. We investigated the publication trends of code search studies, analyzed key components, such as codebase, query, and modeling technique ...
Deeprobot: A Hybrid Deep Neural Network Model For Social Bot Detection Based On User Profile Data,
2022
Zayed University
Deeprobot: A Hybrid Deep Neural Network Model For Social Bot Detection Based On User Profile Data, Kadhim Hayawi, Sujith Mathew, Neethu Venugopal, Mohammad M. Masud, Pin Han Ho
All Works
Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one’s opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to classify Twitter accounts as either ‘human’ or ‘bot.’ We use the information from user profile metadata of the Twitter account like description, follower count and tweet count. We name ...
Mgrre_Thinsections_05_A_95,
2022
Western Michigan University
Mgrre_Thinsections_05_A_94,
2022
Western Michigan University
Mgrre_Thinsections_05_A_93,
2022
Western Michigan University
Mgrre_Thinsections_05_A_92,
2022
Western Michigan University
Investigating Small-Group Cognitive Engagement In General Chemistry Learning Activities Using Qualitative Content Analysis And The Icap Framework,
2022
Portland State University
Investigating Small-Group Cognitive Engagement In General Chemistry Learning Activities Using Qualitative Content Analysis And The Icap Framework, Safaa Y. El-Mansy, Jack Barbera, Alissa J. Hartig
Chemistry Faculty Publications and Presentations
The level of students’ engagement during active learning activities conducted in small groups is important to understanding the effectiveness of these activities. The Interactive–Constructive–Active–Passive (ICAP) framework is a way to determine the cognitive engagement of these groups by analyzing the conversations that occur while student groups work on an activity. This study used qualitative content analysis and ICAP to investigate cognitive engagement during group activities in a General Chemistry course at the question level, a finer grain size than previously studied. The analysis determined the expected engagement based on question design and the observed engagement based on ...
Mgrre_Thinsections_05_A_91,
2022
Western Michigan University
Mgrre_Thinsections_05_A_90,
2022
Western Michigan University
Mgrre_Thinsections_05_A_89,
2022
Western Michigan University
Mgrre_Thinsections_05_A_88,
2022
Western Michigan University
Mgrre_Thinsections_05_A_87,
2022
Western Michigan University
Mgrre_Thinsections_05_A_86,
2022
Western Michigan University
Mgrre_Thinsections_05_A_83,
2022
Western Michigan University
Mgrre_Thinsections_05_A_82,
2022
Western Michigan University
Mgrre_Thinsections_05_A_81,
2022
Western Michigan University
Mgrre_Thinsections_05_A_80,
2022
Western Michigan University
Mgrre_Thinsections_05_A_79,
2022
Western Michigan University
Mgrre_Thinsections_05_A_78,
2022
Western Michigan University
Mgrre_Thinsections_05_A_77,
2022
Western Michigan University
