Challenges of Non-functional Requirements Extraction in Agile Software Development using Machine Learning
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10.5120/ijca2021921835 |
Hoda Mohamed Abd El Sameaa, Nesrine Ali Abd El Azim and Nagy Ramadan. Challenges of Non-functional Requirements Extraction in Agile Software Development using Machine Learning. International Journal of Computer Applications 183(43):23-26, December 2021. BibTeX
@article{10.5120/ijca2021921835,
author = {Hoda Mohamed Abd El Sameaa and Nesrine Ali Abd El Azim and Nagy Ramadan},
title = {Challenges of Non-functional Requirements Extraction in Agile Software Development using Machine Learning},
journal = {International Journal of Computer Applications},
issue_date = {December 2021},
volume = {183},
number = {43},
month = {Dec},
year = {2021},
issn = {0975-8887},
pages = {23-26},
numpages = {4},
url = {http://www.ijcaonline.org/archives/volume183/number43/32220-2021921835},
doi = {10.5120/ijca2021921835},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
Abstract
Current developments in Requirement Engineering methods have seen mutation resulting from the use of machine learning algorithms to resolve several complex Requirements Engineering problems. One of these problems is the identification and classification of non-functional requirements in the requirements documents. Machine based-learning techniques for this challenge have been shown hopeful outcomes than traditional natural language processing approaches. However, there is still lacking of a systematic understanding these machine learning approaches. Despite the fact that non-functional requirements are critical to a software project's success, there is still no accords about what they are and how we will elicit, document, and validate them. Thus, the important task of Requirements Engineering is to properly extract non-functional requirements records from requirement files and arrange them into categories. However, this task is waste of time and prone to errors. This paper presents non-functional requirements importance, relates them to the process of software development and identifies its challenges and current area of research.
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Keywords
Requirement Engineering, Non-Functional Requirements, Machine learning