Open AccessUse of Natural Language Processing in Software Requirements Prioritization – A Systematic Literature Review
Author(s) -
Suchetha Vijayakumar,
P. S. Nethravathi
Publication year - 2021
Publication title -
international journal of applied engineering and management letters
Language(s) - English
Resource type - Journals
ISSN - 2581-7000
DOI - 10.47992/ijaeml.2581.7000.0110
Subject(s) - computer science , field (mathematics) , domain (mathematical analysis) , originality , process (computing) , data science , software , prioritization , software engineering , management science , knowledge management , engineering , mathematical analysis , mathematics , creativity , political science , pure mathematics , law , programming language , operating system
Purpose: Research involves the creation and implementation of new ideas by keeping the existing work as a foundation. The literature review done in this paper is to familiarise and to know about the domain of research to integrate the existing ideas with the new ones.Methodology: The literature that is required for this study is chosen from multiple secondary sources such as journals, conference proceedings, and web resources. All the pieces of literature are carefully studied and summarised. This is further used to arrive at Research agendas and Research gaps. Findings/Result: It has been observed and understood that Natural Language Processing (NLP) is a field involving analysis and processing of textual contents. It also requires Machine Learning Algorithms to support the processing. This combination has already been used in various domains, the important one being the health sector. EMR data is huge and NLP can successfully process and prioritize them in different dimensions. In that direction, the same concept and technology can be applied to Software Engineering also and Requirements can be prioritized. Originality: This literature review study is carried out using secondary data which is collected through various online sources. The information thus gathered will be used in the future to build upon existing theory and framework or build a new methodology. It is also seen that any conclusion or decision is not biased or unidirectional. A sincere effort is made to identify a research topic to carry out the research.Paper Type: Literature Review.