Detecting relevant app reviews for software evolution and ...

This article investigates methods for detecting relevant app reviews considering scenarios with small sets of labeled data.

Method: We present a one-class multimodal learning method for detecting relevant reviews. Our approaches have two main contributions. First, we ...

Detecting relevant app reviews for software evolution and ...

Request PDF | Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning | Context Mobile app reviews are a ...

GoloMarcos/Multimodal-OCL-IST-2021: Detecting Relevant ... - GitHub

Context: Mobile app reviews are a rich source of information for software evolution and maintenance. Several studies have shown the effectiveness of exploring ...

Detecting relevant app reviews for software evolution and ... - OUCI

Chen, Ar-miner: Mining informative reviews for developers from mobile app marketplace, с. · Guzman, Ensemble methods for app review classification: An approach ...

Analysing app reviews for software engineering - UCL Discovery

of these App Stores have had important effects on software engineering ... 2019); during product evolution, analysing app reviews may help in identifying and ...

Classifying User Apps Review for Software Evolution

relevant to the evolution of related software. Previous studies [1] ... the topic Latent Dirichlet Allocation (LDA) to detect and classify ...

Retrieving Diverse Opinions from App Reviews - IEEE Xplore

Additionally, a controlled experiment revealed that DIVERSE can help develop- ers save time when analyzing user reviews and was considered useful for detecting ...

Detecting relevant app reviews for software evolution and ...

Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning (2022). Authors: Gôlo, Marcos Paulo Silva · Araujo, ...

How can I improve my app? Classifying user reviews for software ...

user review some sentences are relevant to software evolution and ... developers in identifying software related tweets. Panichella et al. [34], [36] ...

(PDF) Issue detection and prioritization based on app reviews

This paper introduces the automatic generation of a risk matrix from user reviews to answer the following research question: how do we ...

Driving the Technology Value Stream by Analyzing App Reviews

The classification of app reviews is widely used in research and studies to understand user feedback and improve software products by identifying user ...

Analyzing reviews guided by App descriptions for the software ...

The results indicate that the approach can classify reviews to their related App features effectively (average F measure is 86.13%), and provides useful ...

Investigating the criticality of user‐reported issues through their ...

How can I improve my app? Classifying user reviews for software maintenance and evolution. In: 2015 IEEE International Conference on Software ...

A Tool to Automatically Detect Human-Centric Issues in App Reviews

A tool is presented that analyses a large number of user reviews from 24 mobile apps to train a machine learning model to automatically generate the ...

arXiv:2104.05861v3 [cs.SE] 6 Apr 2022

categorize app reviews for detecting emerging issues ... niques to classify app reviews into categories relevant to software evolution, to ...

How can i improve my app? Classifying user reviews for software ...

MARC is equipped with a set of configuration features to enable practitioners and researchers to classify user reviews under different settings. A dataset of ...

Can end‐user feedback in social media be trusted for software ...

Software researchers and vendors started to mine end-user feedback by proposing text analytics methods and tools to extract useful information ...

Android Apps and User Feedback: A Dataset for Software Evolution ...

It also encloses app reviews related to each of these versions, which have ... Opinion fraud detection in online reviews by network effects. In Seventh ...

uncovering the frequently occurring issues in low-rating software ...

... important component of software development efforts aimed at improving app ratings and user satisfaction. By addressing these identified ...