Analysing app reviews for software engineering: a systematic literature review

J Dąbrowski, E Letier, A Perini, A Susi - Empirical Software Engineering, 2022 - Springer
App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

“Leagile” software development: An experience report analysis of the application of lean approaches in agile software development

X Wang, K Conboy, O Cawley - Journal of Systems and Software, 2012 - Elsevier
In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …

An exploratory and automated study of sarcasm detection and classification in app stores using fine-tuned deep learning classifiers

E Fatima, H Kanwal, JA Khan, ND Khan - Automated Software Engineering, 2024 - Springer
App stores enable users to provide insightful feedback on apps, which developers can use
for future software application enhancement and evolution. However, finding user reviews …

Natural Language in Requirements Engineering for Structure Inference--An Integrative Review

M Vierlboeck, C Lipizzi, R Nilchiani - arXiv preprint arXiv:2202.05065, 2022 - arxiv.org
The automatic extraction of structure from text can be difficult for machines. Yet, the
elicitation of this information can provide many benefits and opportunities for various …

A product requirement development method based on multi-layer heterogeneous networks

X Xu, Y Dou, W Ouyang, J Jiang, K Yang… - Advanced Engineering …, 2023 - Elsevier
The rapid advancement of emerging technologies in the information age has resulted in
intricate, diverse, and rapidly changing user requirements, thereby reducing the …

Classifying user requirements from online feedback in small dataset environments using deep learning

RR Mekala, A Irfan, EC Groen, A Porter… - 2021 IEEE 29th …, 2021 - ieeexplore.ieee.org
An overwhelming number of users access app repositories like App Store/Google Play and
social media platforms like Twitter, where they provide feedback on digital experiences. This …

Transfer learning for mining feature requests and bug reports from tweets and app store reviews

PR Henao, J Fischbach, D Spies… - 2021 IEEE 29th …, 2021 - ieeexplore.ieee.org
Identifying feature requests and bug reports in user comments holds great potential for
development teams. However, automated mining of RE-related information from social …

Natural language processing for analyzing online customer reviews: A survey, taxonomy, and open research challenges

N Malik, M Bilal - PeerJ Computer Science, 2024 - peerj.com
In recent years, e-commerce platforms have become popular and transformed the way
people buy and sell goods. People are rapidly adopting Internet shopping due to the …

Crowd-based requirements elicitation via pull feedback: method and case studies

J Wouters, A Menkveld, S Brinkkemper… - Requirements …, 2022 - Springer
Abstract Crowd-based Requirements Engineering (CrowdRE) promotes the active
involvement of a large number of stakeholders in RE activities. A prominent strand of …

Identifying Users and Developers of Mobile Apps in Social Network Crowd

G Alamer, S Alyahya, H Al-Dossari - Electronics, 2023 - mdpi.com
In the last fifteen years, an immense expansion has been witnessed in mobile app usage
and production. The intense competition in the tech sector and also the rapidly and …