Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Ai-assisted programming tasks using code embeddings and transformers

S Kotsiantis, V Verykios, M Tzagarakis - Electronics, 2024 - mdpi.com
This review article provides an in-depth analysis of the growing field of AI-assisted
programming tasks, specifically focusing on the use of code embeddings and transformers …

[HTML][HTML] Mapping research in the Journal of Innovation & Knowledge to sustainable development goals

R Raman, D Pattnaik, K Achuthan, L Hughes… - Journal of Innovation & …, 2024 - Elsevier
This study critically evaluates the contributions of the Journal of Innovation & Knowledge
(JIK) toward advancing research aligned with the Sustainable Development Goals (SDGs) …

Sentiment analysis of Indonesian datasets based on a hybrid deep-learning strategy

CH Lin, U Nuha - Journal of Big Data, 2023 - Springer
Various attempts have been conducted to improve the performance of text-based sentiment
analysis. These significant attempts have focused on text representation and model …

Bert based severity prediction of bug reports for the maintenance of mobile applications

A Ali, Y Xia, Q Umer, M Osman - Journal of Systems and Software, 2024 - Elsevier
Mobile application maintenance is crucial to ensuring the accurate operation and
continuous improvement of mobile applications (mobile apps). To effectively address issues …

An artificial intelligence approach for interpreting creative combinational designs

L Chen, S Xiao, Y Chen, L Sun… - Journal of Engineering …, 2024 - Taylor & Francis
Combinational creativity, a form of creativity involving the blending of familiar ideas, is
pivotal in design innovation. While most research focuses on how combinational creativity in …

[HTML][HTML] Unveiling the Correlation between Nonfunctional Requirements and Sustainable Environmental Factors Using a Machine Learning Model

S Hassan, Q Li, M Zubair, RA Alsowail, MA Qureshi - Sustainability, 2024 - mdpi.com
Integrating environmental features into software requirements during the requirements
engineering (RE) process is known as sustainable requirements engineering. Unlike …

An explainable machine learning model for sentiment analysis of online reviews

S El Mrabti, ELM Jaouad, A Hachmoud… - Knowledge-Based …, 2024 - Elsevier
Over the last two decades and with the widespread use of social media and e-commerce
sites, scientific research in the field of sentiment analysis (SA) has made considerable …

An AI-driven social media recommender system leveraging smartphone and IoT data

D Yu, X Zhou, A Noorian, M Hazratifard - The Journal of Supercomputing, 2025 - Springer
Our research presents “RoBERTaRecIOT,” an innovative model that stands out for its
superiority. It utilizes the pre-trained Robustly Optimized Bidirectional Encoder …

Modelling customer requirement for mobile games based on online reviews using BW-CNN and S-Kano models

Y Liu, TH You, J Zou, BB Cao - Expert Systems with Applications, 2024 - Elsevier
In the mobile game industry, modelling customer requirements (CRs) is becoming
indispensable for developers before improving games. Online reviews, as a common way of …