A Chatterbot Sensitive to Student's Context to Help on Software Engineering Education

作者: Leo Natan Paschoal , Myke Morais de Oliveira , Patricia Mariotto Mozzaquatro Chicon

DOI: 10.1109/CLEI.2018.00105

关键词:

摘要: Requirements extraction is an important element of the software development process. One most used techniques for requirements interview. Initiatives to support training and technical computing students in this area are being proposed, such as mechanisms. These initiatives proposed by fact that graduating with limited practical knowledge extraction. In parallel, chatterbots have been investigated tools capacity from different areas knowledge, since main characteristic verbal conversational behavior. medicine, example, they can take on role a sick patient train extract information about patient's symptoms. subject has explored context educational awareness, so chatterbot present right user. surveys start premise not every student same their peers subject. Thus, research work full paper we describe offers Software Engineering Education, focusing mainly extraction, which assumes stakeholder. A prototype sensitive student's presented, well preliminary results impact mechanism Education.

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