Extracting features from online software reviews to aid requirements reuse

NH Bakar, ZM Kasirun, N Salleh, HA Jalab - Applied Soft Computing, 2016 - Elsevier
Sets of common features are essential assets to be reused in fulfilling specific needs in
software product line methodology. In Requirements Reuse (RR), the extraction of software …

Feature extraction approaches from natural language requirements for reuse in software product lines: A systematic literature review

NH Bakar, ZM Kasirun, N Salleh - Journal of Systems and Software, 2015 - Elsevier
Requirements for implemented system can be extracted and reused for a production of a
new similar system. Extraction of common and variable features from requirements …

Terms extractions: an approach for requirements reuse

NH Bakar, ZM Kasirun, N Salleh - 2015 2nd International …, 2015 - ieeexplore.ieee.org
This paper presents a solution to a requirements reuse problem that utilises natural
language processing and information retrieval technique. We proposed a semi-automated …

[PDF][PDF] Identification and Classification of Requirements from App User Reviews.

H Yang, P Liang - SEKE, 2015 - Citeseer
Review function, as a feedback mechanism from users to developers and vendors, is
provided by most APP distribution platforms that allow users to rate and comment an APP …

Retrieving and analyzing mobile apps feature requests from online reviews

C Iacob, R Harrison - 2013 10th working conference on mining …, 2013 - ieeexplore.ieee.org
Mobile app reviews are valuable repositories of ideas coming directly from app users. Such
ideas span various topics, and in this paper we show that 23.3% of them represent feature …

[HTML][HTML] Mining and searching app reviews for requirements engineering: Evaluation and replication studies

J Dąbrowski, E Letier, A Perini, A Susi - Information Systems, 2023 - Elsevier
App reviews provide a rich source of feature-related information that can support
requirement engineering activities. Analyzing them manually to find this information …

For user-driven software evolution: Requirements elicitation derived from mining online reviews

W Jiang, H Ruan, L Zhang, P Lew, J Jiang - Advances in Knowledge …, 2014 - Springer
Online reviews that manifest user feedback have become an available resource for eliciting
requirements to design future releases. However, due to complex and diverse opinion …

User story extraction from natural language for requirements elicitation: Identify software-related information from online news

D Siahaan, IK Raharjana, C Fatichah - Information and Software …, 2023 - Elsevier
Context The user story is a popular artifact in agile software development. Extracting user
stories is helpful for process improvement in requirements elicitation, closing limitations such …

Classification of application reviews into software maintenance tasks using data mining techniques

A Al-Hawari, H Najadat, R Shatnawi - Software Quality Journal, 2021 - Springer
Mobile application reviews are considered a rich source of information for software
engineers to provide a general understanding of user requirements and technical feedback …

[PDF][PDF] Mining user reviews: from specification to summarization

X Meng, H Wang - Proceedings of the ACL-IJCNLP 2009 …, 2009 - aclanthology.org
This paper proposes a method to extract product features from user reviews and generate a
review summary. This method only relies on product specifications, which usually are easy …