In the last decade, requirements classification has emerged as hot research topic in
Requirements Engineering (RE). Early identification of software requirements helps the …

Security Orchestration, Automation, and Response (SOAR) platforms integrate and
orchestrate a wide variety of security tools to accelerate the operational activities of Security …

Tenders or technical terms contain a large quantity of both technical, legal, managerial
information mixed in a nested and complex net of relationships. Extracting technical and …

Machine learning techniques have shown promising results in classifying non-functional
requirements (NFR). However, the lack of annotated training data in the domain of …

In a software development life cycle, software requirements specifications (SRS) written in
an incomprehensible language might hinder the success of the project in later stages. In …

Requirements classification is considered a crucial task in requirements engineering. The
analysis of functional and Non-functional requirements (NFRs) requires domain knowledge …

Word embedding vectorization is more efficient than Bag-of-Word in word vector size. Word
embedding also overcomes the loss of information related to sentence context, word order …

Sarcasm detection is considered one of the most challenging tasks in sentiment analysis
and opinion mining applications in the social media. Sarcasm identification is therefore …

While text mining and NLP research has been established for decades, there remain gaps in
the literature that reports the use of these techniques in building real-world applications. For …

Neural Machine Translation (NMT) is widely applied in software engineering tasks. The
effectiveness of NMT for code retrieval relies on the ability to learn from the sequence of …