iRisk: A Scalable Microservice for Classifying Issue Risks Based on Crowdsourced App Reviews

VMA De Lima, JR Barbosa… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Analyzing mobile app reviews is essential for identifying trends and issue patterns that affect
user experience and app reputation in app stores. A risk matrix provides a straightforward …

Relationship between features volatility and bug occurrence rate to support software evolution.

TR Hadiningrum, BD Mardiana… - International Journal of …, 2024 - search.ebscohost.com
Software evolution is an essential foundation in delivering technology that adapts to user
needs and industry dynamics. In an era of rapid technological development, software …

Exploring Innovative Approaches for Software Development Risk Assessment and Management

SU Hasanah, PI Santosa… - 2024 8th International …, 2024 - ieeexplore.ieee.org
The success of software development projects is significantly impacted by various risk
factors, both predictable and unpredictable. This literature review aims to explore and …

A Risk Evaluation System for University Research Project Based on Combination Weighting and Grey Clustering

Y Zhang, J Li, Y Zou, K Zhu - 2023 8th IEEE International …, 2023 - ieeexplore.ieee.org
Due to increased government investment in university education funds, there have emerged
significant challenges and complexities in managing and utilizing scientific research funds …

Opinion Mining for App Reviews: Identifying and Prioritizing Emerging Issues for Software Maintenance and Evolution

VMA de Lima, RM Marcacini - … of the XXIII Brazilian Symposium on …, 2024 - dl.acm.org
Opinion mining for app reviews aims to analyze user comments on app stores to support
software engineering activities, primarily software maintenance and evolution. One of the …