Understanding the Low Inter-Rater Agreement on
Aggressiveness on the Linux Kernel Mailing List

Sentiment Analysis for Software Engineering: How
Far Can We Go?

Leveraging Automated Sentiment Analysis in Software
Engineering

A Benchmark Study on Sentiment Analysis
for Software Engineering Research

On Negative Results When Using Sentiment
Analysis Tools for Software Engineering Research

Choosing Your Weapons: On Sentiment Analysis
Tools for Software Engineering Research

SentiStrength-SE: Exploiting Domain Specificity for Improved
Sentiment Analysis in Software Engineering Text

Sentiment Analysis for Software Engineering: How
Far Can Pre-trained Transformer Models Go?

Entity-Level Sentiment Analysis of Issue Comments

Sentiment Analysis of Travis CI Builds

SentiCR: A Customized Sentiment Analysis Tool
for Code Review Interactions

Sentiment Analysis in Monitoring Software Development
Processes: An Exploratory Case Study on
GitHub's Project Issues

Sentiment Analysis in Tickets for IT
Support

Evaluating the Performance of Machine Learning
Sentiment Analysis Algorithms in Software Engineering

Sentiment Polarity Detection for Software Development

Sentiment Analysis of Commit Comments in
GitHub: An Empirical Study

Sentiment Analysis of Software Bug Related
Commit Messages

The Challenges of Sentiment Detection in
the Social Programmer Ecosystem

DEVA: Sensing Emotions in the Valence
Arousal Space in Software Engineering Text

Analyzing Developer Sentiment in Commit Logs

Bootstrapping a Lexicon for Emotional Arousal
in Software Engineering

Sentiment and Politeness Analysis Tools on
Developer Discussions Are Unreliable, but So
Are People

Towards Emotional Awareness in Software Development
Teams

Is Developer Sentiment Related to Software
Bugs: An Exploratory Study on GitHub
Commits

Towards Discovering the Role of Emotions
in StackOverflow

A Gold Standard for Emotion Annotation
in Stack Overflow

Word Embeddings for the Software Engineering
Domain

Anger and Its Direction in Collaborative
Software Development

Exploring Word Embedding Techniques to Improve
Sentiment Analysis of Software Engineering Texts

Mining Successful Answers in Stack Overflow

Are Bullies more Productive? Empirical Study
of Affectiveness vs. Issue Fixing Time

The Emotional Side of Software Developers
in JIRA

Exploiting the Unique Expression for Improved
Sentiment Analysis in Software Engineering Text

Monitoring Sentiment in Open Source Mailing
Lists – Exploratory Study on the
Apache Ecosystem

A Longitudinal Study on the Maintainers’
Sentiment of a Large Scale Open
Source Ecosystem

Can We Use SE-specific Sentiment Analysis
Tools in a Cross-Platform Setting?

How Heated Is It? Understanding GitHub
Locked Issues

Do Developers Feel Emotions? An Exploratory
Analysis of Emotions in Software Artifacts

Developers' Sentiment and Issue Reopening

Leveraging Small Software Engineering Data Sets
with Pre-trained Neural Networks

SEntiMoji: An Emoji-Powered Learning Approach for
Sentiment Analysis in Software Engineering

StackEmo: Towards Enhancing User Experience by
Augmenting Stack Overflow with Emojis

20-MAD - 20 Years of Issues
and Commits of Mozilla and Apache
Development

Chat Activity Is a Better Predictor
than Chat Sentiment on Software Developers
Productivity

Outcomes of Emotional Content from Agile
Team Forum Posts

“Did You Miss My Comment or
What?” Understanding Toxicity in Open Source
Discussions

A Benchmark Study of the Contemporary
Toxicity Detectors on Software Engineering Interactions

Contextualizing Toxicity in Open Source: A
Qualitative Study

Towards Offensive Language Detection and Reduction
in Four Software Engineering Communities

Exploring the Impact of Toxic Comments
in Code Quality

Automated Identification of Toxic Code Reviews
Using ToxiCR

GitHub Discussions: An Exploratory Study of
Early Adoption

Stress and Burnout in Open Source:
Toward Finding, Understanding, and Mitigating Unhealthy
Interactions

Detecting Interpersonal Conflict in Issues and
Code Review: Cross Pollinating Open- and
Closed-Source Approaches

The “Shut the f**k up” Phenomenon:
Characterizing Incivility in Open Source Code
Review Discussions

A Comparison of Dictionary Building Methods
for Sentiment Analysis in Software Engineering
Text

A Comparison of Software Engineering Domain
Specific Sentiment Analysis Tools

EmoTxt: A Toolkit for Emotion Recognition
from Text

An Empirical Investigation of Sentiment Analysis
of the Bug Tracking Process in
Libre Office Open Source Software

An Exploratory Qualitative and Quantitative Analysis
of Emotions in Issue Report Comments
of Open Source Systems

An Exploratory Study of Twitter Messages
about Software Applications

Analyzing The Impact Of Feedback In
GitHub On The Software Developer's Mood

Assessment of Off-the-Shelf SE-Specific Sentiment Analysis
Tools: An Extended Replication Study

CAPS: A Supervised Technique for Classifying
Stack Overflow Posts Concerning API Issues

CNN-Based Automatic Prioritization of Bug Reports

Developer Behavior and Sentiment from Data
Mining Open Source Repositories

EmoD: An End-to-End Approach for Investigating
Emotion Dynamics in Software Development

Emotion Mining and Sentiment Analysis in
Software Engineering Domain

Emotion-Based Analysis of Programming Languages on
Stack Overflow

Emotions Extracted from Text vs. True
Emotions–An Empirical Evaluation in SE Context

EMTk – The Emotion Mining Toolkit

Extracting Problematic API Features from Forum
Discussions

How Angry Are Your Customers? Sentiment
Analysis of Support Tickets that Escalate

Investigating Game Developers' Guilt Emotions Using
Sentiment Analysis

MarValous: Machine Learning Based Detection of
Emotions in the Valence-Arousal Space in
Software Engineering Text

MEME: Toward a Method for Emotions
Extraction from GitHub

Mining Communication Patterns in Software Development:
A GitHub Analysis

NRFixer: Sentiment Based Model for Predicting
the Fixability of Non-Reproducible Bugs

On the Use of Emoticons in
Open Source Software Development

Pattern-Based Mining of Opinions in Q&A
Websites

Security and Emotion: Sentiment Analysis of
Security Discussions on GitHub

Sentiment Analysis of Free/Open Source Developers:
Preliminary Findings from a Case Study

Sentiment Identification for Collaborative, Geographically Dispersed,
Cross-Functional Software Development Teams

Software Development: Do Good Manners Matter?

The Evolution of Emotional Displays in
Open Source Software Development Teams: An
Individual Growth Curve Analysis

The Role of Emotions in Contributors
Activity: A Case Study on the
GENTOO Community

Towards Understanding and Exploiting Developers' Emotional
Variations in Software Engineering

Visualizing Emotions in Software Development Projects

We Are Family: Analyzing Communication in
GitHub Software Repositories and Their Forks

Achieving Reliable Sentiment Analysis in the
Software Engineering Domain Using BERT

Analysis of Factors Influencing User Contribution
and Predicting Involvement of Users on
Stack Overflow

Assessing Perceived Sentiment in Pull Requests
with Emoji: Evidence from Tools and
Developer Eye Movements

Automatic Mining of Opinions Expressed About
APIs in Stack Overflow

BERT for Sentiment Classification in Software
Engineering

Classifying Emotions in Stack Overflow and
JIRA Using a Multi-Label Approach

Emoji-Powered Sentiment and Emotion Detection from
Software Developers’ Communication Data

From Textual to Verbal Communication: Towards
Applying Sentiment Analysis to a Software
Project Meeting

How Developers and Tools Categorize Sentiment
in Stack Overflow Questions – A
Pilot Study

Is It Feasible to Detect FLOSS
Version Release Events from Textual Messages?
A Case Study on Stack Overflow

Mining Valence, Arousal, and Dominance –
Possibilities for Detecting Burnout and Productivity?

SentiLog: Anomaly Detecting on Parallel File
Systems via Log-Based Sentiment Analysis

Sentiment Analysis in Jira Software Repositories

Severity Prediction for Bug Reports Using
Multi-Aspect Features: A Deep Learning Approach

The Impacts of Sentiments and Tones
in Community-Generated Issue Discussions

Towards Understanding Emotional Response to Requirements
Changes in Agile Teams

Understanding Emotions of Developer Community Towards
Software Documentation

A Network-Centric Approach for Estimating Trust
Between Open Source Software Developers

Automatically Mining Negative Code Examples from
Software Developer Q & A Forums

Can a Machine Learn Through Customer
Sentiment?: A Cost-Aware Approach to Predict
Support Ticket Escalations

Comparing the Communication Tone and Responses
of Users and Developers in Two
R Mailing Lists: Measuring Positive and
Negative Emails

Estimating Trust in Virtual Teams: A
Framework Based on Sentiment Analysis

Exploring the Links Between Software Development
Task Type, Team Attitudes and Task
Completion Performance: Insights from the Jazz
Repository

Natural Language Insights from Code Reviews
that Missed a Vulnerability

Recommending Insightful Comments for Source Code
Using Crowdsourced Knowledge

Relating IS Developers' Attitudes to Engagement

Sentiment Analysis of Open Source Communities:
An Exploratory Study

Sentiment Analysis of Open Source Software
Community Mailing List: A Preliminary Analysis

Speech-Acts Based Analysis for Requirements Discovery
from Online Discussions

The Impact of Human Discussions on
Just-in-Time Quality Assurance: An Empirical Study
on OpenStack and Eclipse

Usability Related Qualities Through Sentiment Analysis

Winning of Hearts and Minds: Integrating
Sentiment Analytics into the Analysis of
Contradictions

Deep Neural Network-Based Severity Prediction of
Bug Reports

Analyzing Emotion Words to Predict Severity
of Software Bugs: A Case Study
of Open Source Projects

An Emotion Similarity Based Severity Prediction
of Software Bugs: A Case Study
of Open Source Projects

Classifying Stack Overflow Posts on API
Issues

Identifying the Mood of a Software
Development Team by Analyzing Text-Based Communication
in Chats with Machine Learning

On the Subjectivity of Emotions in
Software Projects: How Reliable Are Pre-labled
Data Sets for Sentiment Analysis?

Scratch as Social Network: Topic Modeling
and Sentiment Analysis in Scratch Projects

An Empirical Study of the Effectiveness
of an Ensemble of Stand-Alone Sentiment
Detection Tools for Software Engineering Datasets

Improving the Detection of Community Smells
Through Socio-Technical and Sentiment Analysis

Predicting Community Smells' Occurrence on Individual
Developers' Emotions and Progress

Sentiment Analysis of Software Project Code
Commits

On the Limitations of Combining Sentiment
Analysis Tools in a Cross-Platform Setting

Sentiment Overflow in the Testing Stack:
Analysing Software Testing Posts on Stack
Overflow

ToxiSpanSE: An Explainable Toxicity Detection in
Code Review Comments

Learning with Comments: An Analysis of
Comments and Communityon Stack Overflow

Understanding the Impact of Bots on
Developers Sentiment and Project Progress

Data Augmentation for Improving Emotion Recognition
in Software Engineering Communication

Making the Most of Small Software
Engineering Datasets With Modern Machine Learning

Socio-Technical Work-Rate Increase Associates With Changes
in Work Patterns in Online Projects

Arsonists or Firefighters? Affectiveness in Agile
Software Development

Waiting Around or Job Half-Done? Sentiment
in Self-Admitted Technical Debt

Investigating the Effects of Gender Bias
on GitHub

Deep-Learning Approach for Sentiment Analysis in
Software Engineering Domain

Incorporating Pre-trained Transformer Models into TextCNN
for Sentiment Analysis on Software Engineering
Texts

Software Sentiment Analysis Using Machine Learning
with Different Word-Embeddings

Sentiment Analysis of Developers' Comments on
GitHub Repository: A Study

An Empirical Study of Emoji Use
in Software Development Communication

On the Validity of Pre-trained Transformers
for Natural Language Processing in the
Software Engineering Domain

Does the first Response Matter for
Future Contributions? A Study of First
Contributions

Automatic API Usage Scenario Documentation from
Technical Q&A Sites

Mining API Usage Scenarios from StackOverflow

A Qualitative Study of Developers' Discussions
of Their Problems and Joys During
Early COVID-19 Months

An Empirical Study of Sentiments in
Code Reviews

Sentiment Classification Using N-Gram Inverse Document
Frequency and Automated Machine Learning

On the Potentials of Realtime Sentiment
Analysis on Text-Based Communication in Software
Projects

Analysis of Factors Influencing Developers' Sentiments
in Commit Logs: Insights from Applying
Sentiment Analysis

Expressions of Sentiments During Code Reviews:
Male vs. Female

Emotion Recognition on StackOverflow Posts Using
BERT

How Do Code Refactoring Activities Impact
Software Developers' Sentiments? – An Empirical
Investigation into GitHub Commits

A Datset for Analysis of Quality
Code and Toxic Comments

Would You Mind Fixing This Issue?
An Empirical Analysis of Politeness and
Attractiveness in Software Developed Using Agile
Boards

Understanding the Effect of Developer Sentiment
on Fix-Inducing Changes: An Exploratory Study
on GitHub Pull Requests

On Measuring Affects of GitHub Issues'
Commenters

Empirical Analysis of Affect of Merged
Issues on GitHub

Sentiments Analysis in GitHub Repositories: An
Empirical Study

Automatic Extraction of Opinion-Based Q&A from
Online Developer Chats

Self-Admitted Technical Debt and Comments' Polarity:
An Empirical Study

Analysis of Newcomers Activity in Communicative
Posts on GitHub

Anti-Patterns in Modern Code Review: Symptoms
and Prevalence

Pair Programming Conversations with Agents vs.
Developers: Challenges and Opportunities for SE
Community

An Empirical Study on GitHub Pull
Requests' Reactions

Sentiment Analysis over Collaborative Relationships in
Open Source Software Projects

BERT-Based Sentiment Analysis: A Software Engineering
Perspective

Monitoring Negative Sentiment-Related Events in Open
Source Software Projects

On the Self-Governance and Episodic Changes
in Apache Incubator Projects: An Empirical
Study

More Than React: Investigating the Role
of Emoji Reaction in GitHub Pull
Requests

Incivility Detection in Open Source Code
Review and Issue Discussions

A Novel Framework for Measuring Software
Quality-in-Use Based on Semantic Similarity and
Sentiment Analysis of Software Reviews

A Study and Comparison of Sentiment
Analysis Methods for Reputation Evaluation

How Can I Improve My App?
Classifying User Reviews for Software Maintenance
and Evolution

Managing the Enterprise Business Intelligence App
Store: Sentiment Analysis Supported Requirements Engineering

On the Emotion of Users in
App Reviews

Opinion Mining to Assist User Acceptance
Testing for Open-Beta Versions

Parallel Worlds: Repeated Initializations of the
Same Team to Improve Team Viability

Retrieving Diverse Opinions from App Reviews

SatiIndicator: Leveraging User Reviews to Evaluate
User Satisfaction of SourceForge Projects

Sentiment Analysis by Using Fuzzy Logic

Sentiment Analysis of Students' Comment Using
Lexicon Based Approach

Sentiment Analysis to Track Emotion and
Polarity in Student Fora

Sentiment Analysis Using Product Review Data

Software Usability Evaluation Using Opinion Mining

Studying the Dialogue Between Users and
Developers of Free Apps in the
Google Play Store

The Possibility of Students' Comments Automatic
Interpret Using Lexicon Based Sentiment Analysis
to Teacher Evaluation

Does Sentiment Help Requirement Engineering: Exploring
Sentiments in User Comments to Discover
Informative Comments

How Do Users Like This Feature?
A Fine Grained Sentiment Analysis of
App Reviews

Mining User Reviews of COVID Contact-Tracing
Apps: An Exploratory Analysis of Nine
European Apps

Sentiment Analysis of User Feedback on
the HSE's Covid-19 Contact Tracing App

TOUR: Dynamic Topic and Sentiment Analysis
of User Reviews for Assisting App
Release

A Cognitive Agent for Mining Bugs
Reports, Feature Suggestions and Sentiment in
a Mobile Application Store

A Domain Knowledge Incorporated Text Mining
Approach for Capturing User Needs on
BIM Applications

A Feature-Oriented Sentiment Rating for Mobile
App Reviews

ALDA: An Aggregated LDA for Polarity
Enhanced Aspect Identification Technique in Mobile
App Domain

A Little Bird Told Me: Mining
Tweets for Requirements and Software Evolution

A Method to Transform Automatically Extracted
Product Features into Inputs for Kano-Like
Models

A Multi-label Active Learning Approach for
Mobile App User Review Classification

Analysis of Requirements-Related Arguments in User
Forums

Analysis of User Comments: An Approach
for Software Requirements Evolution

Analyzing and Automatically Labelling the Types
of User Issues that Are Raised
in Mobile App Reviews

Analyzing, Classifying, and Interpreting Emotions in
Software Users' Tweets

Analyzing Reviews and Code of Mobile
Apps for Better Release Planning

Analyzing Reviews Guided by App Descriptions
for the Software Development and Evolution

Analyzing Software Reviews for Software Quality-Based
Ranking

An Approach of Extracting Feature Requests
from App Reviews

App Review Analysis via Active Learning

App Reviews: Breaking the User and
Developer Language Barrier

Approaches for Prioritizing Feature Improvements Extracted
from App Reviews

App Store Mining Is Not Enough
for App Improvement

ARdoc: App Reviews Development Oriented Classifier

AR-miner: Mining Informative Reviews for Developers
from Mobile App Marketplace

Assessing Software Quality through Web Comment
Search and Analysis

Attributes that Predict Which Features to
Fix: Lessons for App Store Mining

Automated Classification of Software Issue Reports
Using Machine Learning Techniques: An Empirical
Study

Automatically Classifying Functional and Non-Functional Requirements
Using Supervised Machine Learning

Automatically Classifying Requirements from App Stores:
A Preliminary Study

Automatically Classifying User Requests in Crowdsourcing
Requirements Engineering

Automatically Identifying a Software Product's Quality
Attributes Through Sentiment Analysis of Tweets

Automatic Classification of Apps Reviews for
Requirement Engineering: Exploring the Customers Need
from Healthcare Applications

Automatic Classification of Non-Functional Requirements from
Augmented App User Reviews

Automatic Identification of Assumptions from the
Hibernate Developer Mailing List

Classification of Mobile Application User Reviews
for Generating Tickets on Issue Tracking
System

Classifying Multilingual User Feedback Using Traditional
Machine Learning and Deep Learning

Combining Goal Model with Reviews for
Supporting the Evolution of Apps

Confusion Detection in Code Reviews

CROSA: Context-Aware Cloud Service Ranking Approach
Using Online Reviews Based on Sentiment
Analysis

Crowdsourced Exploration of Mobile App Features

Development Emails Content Analyzer: Intention Mining
in Developer Discussions

ELICA: An Automated Tool for Dynamic
Extraction of Requirements Relevant Information

Emerging App Issue Identification from User
Feedback: Experience on WeChat

Ensemble Methods for App Review Classification:
An Approach for Software Evolution

Evaluating Quality-in-Use of FLOSS Through Analyzing
User Reviews

Evaluating Software Quality in Use Using
User Reviews Mining

Extracting API Tips from Developer Question
and Answer Websites

Extracting User-Reported Mobile Application Defects from
Online Reviews

Fave: Visualizing User Feedback for Software
Evolution

Feature-Based Evaluation of Competing Apps

Feature-Based Sentiment Analysis of Codified Project
Knowledge: A Dictionary Approach

For User-Driven Software Evolution: Requirements Elicitation
Derived from Mining Online Reviews

Healthcare Android Apps: A Tale of
the Customers' Perspective

INFAR: Insight Extraction from App Reviews

Information Recommendation Based on Domain Knowledge
in App Descriptions for Improving the
Quality of Requirements

Listening to the Crowd for the
Release Planning of Mobile Apps

MARAM: Tool Support for Mobile App
Review Management

MARC: A Mobile Application Review Classifier.

Mining Android App Descriptions for Permission
Requirements Recommendation

Mining Non-Functional Requirements from App Store
Reviews

Mining Twitter Feeds for Software User
Requirements

Mining User Rationale from Software Reviews

On the Automatic Classification of App
Reviews

On Using Machine Learning to Identify
Knowledge in API Reference Documentation

Open Source Software Adoption Evaluation Through
Feature Level Sentiment Analysis Using Twitter
Data

Please Please Me: Does the Presence
of Test Cases Influence Mobile App
Users' Satisfaction?

Quality Measurement of Android Messaging Application
Based on User Experience in Microblog

Rationale in Development Chat Messages: An
Exploratory Study

Recommending New Features from Mobile App
Descriptions

RE-SWOT: From User Feedback to Requirements
via Competitor Analysis

Revealing the Unrevealed: Mining Smartphone Users
Privacy Perception on App Markets

Same App, Different App Stores: A
Comparative Study

Semi-Automated Extraction of New Requirements from
Online Reviews for Software Product Evolution

Sentiment Analysis and Classification for Software
as a Service Reviews

Sentiment Analysis Based Requirement Evolution Prediction

Stratify Mobile App Reviews: E-LDA Model
Based on Hot "Entity" Discovery

Studying the Consistency of Star Ratings
and Reviews of Popular Free Hybrid
Android and iOS Apps

Supporting Analysts by Dynamic Extraction and
Classification of Requirements-Related Knowledge

Tell Them Apart: Distilling Technology Differences
from Crowd-Scale Comparison Discussions

The Impact of Cross-Platform Development Approaches
for Mobile Applications from the User's
Perspective

The OIRE Method-Overview and Initial Validation

Ticket Tagger: Machine Learning Driven Issue
Classification

To Do or Not To Do:
Distill Crowdsourced Negative Caveats to Augment
API Documentation

Tool Support for Analyzing Mobile App
Reviews

Too Many User-Reviews, What Should App
Developers Look at First?

Topics of Concern: Identifying User Issues
in Reviews of IoT Apps and
Devices

Towards Auto-labelling Issue Reports for Pull-Based
Software Development using Text Mining Approach

Understanding Feature Requests by Leveraging Fuzzy
Method and Linguistic Analysis

Using App Reviews for Competitive Analysis:
Tool Support

Using Frame Semantics for Classifying and
Summarizing Application Store Reviews

Using Sentiment Analysis to Measure the
Effects of Leaders in Global Software
Development

Value-Oriented Requirements: Eliciting Domain Requirements from
Social Network Services to Evolve Software
Product Lines

What Can the Sentiment of a
Software Requirements Specification Document Tell Us?

"What Parts of Your Apps Are
Loved by Users?"

What People Like in Mobile Finance
Apps: An Analysis of User Reviews

What Would Users Change in My
App? Summarizing App Reviews for Recommending
Software Changes

Which Feature Is Unusable? Detecting Usability
and User Experience Issues from User
Reviews

Why People Hate Your App: Making
Sense of User Feedback in a
Mobile App Store

Your Opinions Let Us Know: Mining
Social Network Sites to Evolve Software
Product Lines

Prioritizing User Concerns in App Reviews
– A Study of Requests for
New Features, Enhancements and Bug Fixes

Sentiment Assessment for Software Code Assessment

A Needle in the Haystack: What
Do Twitter Users Say about Software?

Automatic Summarization of API Reviews

Analysing App Reviews for Software Engineering:
A Systematic Literature Review

Two Datasets for Sentiment Analysis in
Software Engineering

The JIRA Repository Dataset: Understanding Social
Aspects of Software Development

Emotional Awareness in Software Development: Theory
and Measurement

Sentiment and Emotion in Software Engineering

Why Does Code Review Work for
Open Source Software Communities?

Differentiating Communication Styles of Leaders on
the Linux Kernel Mailing List

Natural Language or Not (NLoN) –
A Package for Software

Norm Violation in Online Communities –
A Study of Stack Overflow Comments

Destructive Critisism in Software Code Review
Impact Inclusion

FLOSS as a Source for Profanity
and Insults: Collecting the Data

Towards Developing a Theory of Toxicity
in the Context of Free/Open Source
Software & Peer Production Communities

“The Dose Makes the Poison” -
Exploring the Toxicity Phenomenon in Online
Communities

A First Look at Emoji Usage
on GitHub: An Empirical study

Using Personality Detection Tools for Software
Engineering Research: How Far Can We
Go?

Predicting Developers’ Negative Feelings about Code
Review

An Empirical Study of Deep Learning
Sentiment Detection Tools for Software Engineering
in Cross-Plattform Settings