Text summarization automatically produces a summary containing important sentences and
includes all relevant important information from the original document. One of the main …

There are more and more bug reports in software. Software companies and developers
invest a large number of resources into the dramatic accumulation of reports. We introduce …

Automatic text summarization is a fundamental natural language processing (NLP)
application that aims to condense a source text into a shorter version. The rapid increase in …

Abstract Information overload becomes a serious problem in the digital age. It negatively
impacts understanding of useful information. How to alleviate this problem is the main …

Extractive summarization aims to generate a summary by ranking sentences, whose
performance relies heavily on the quality of sentence features. In this paper, a document …

Carbon emissions estimation of design schemes during the early design stage enables
thorough consideration of environmental issues from the source, which holds critical …

Requirements elicitation requires extensive knowledge and deep understanding of the
problem domain where the final system will be situated. However, in many software …

Text summarization is to generate a condensed version of the original document. The major
issues for text summarization are eliminating redundant information, identifying important …

In many software development projects, analysts are required to deal with systems'
requirements from unfamiliar domains. Familiarity with the domain is necessary in order to …

Abstract Summary is the meaningful concise version of a text document. Generally existing
statistical, knowledge based and discourse based extractive summarization methods use …