TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
A | |
A/B Testing | |
Acceptance Requirements | |
Agile | |
Agile Development | |
Agile methods | |
Agile Principles | |
Agile Software Development | |
agile teams | |
agile transformation | |
AI | |
AI in Software Refactoring | |
alert management | |
Algorithm | |
anomaly detection | |
anti-pattern | |
architectural smells | |
architecture | |
Artificial Intelligence | |
Association Rule Mining | |
Automated Software Engineering | |
Automatic documentation | |
Automation | |
Automation process | |
automotive software development | |
autonomous systems | |
Availability | |
B | |
B2B and B2C practices | |
Behavioral Programming | |
behavioral software engineering | |
bellwether | |
benchmarking | |
BERT | |
Blockchain-based Solution | |
business value | |
C | |
CAPEC | |
Causal Inference | |
CD4ML | |
challenges | |
Cloud | |
cloud computing | |
cloud continuum | |
Cloud Environments | |
Cognitive | |
collaborative robot | |
Community Smells | |
complexity | |
Computer aided software engineering | |
Concurrent Stochastic Games | |
Configurability | |
conflict causes | |
conflict resolution | |
conflict types | |
consistency management | |
container security | |
containerisation | |
Containerization | |
Context-Aware Systems | |
Contexts | |
continuous development of AI | |
Continuous Integration | |
Continuous software engineering | |
Continuous Testing | |
Continuum | |
Convolutional Neural Networks | |
Cooperative Intelligent Transportation Systems (C-ITS) | |
COSMIC | |
cost awareness | |
cross-project | |
CVE | |
Cyber-Physical Architecture | |
Cyber-Physical Systems | |
Cyber-Physical Systems (CPS) | |
Cybersecurity | |
D | |
Data Cleaning | |
data collection | |
data communication | |
Data engineering | |
data lake | |
data modality | |
data practices | |
data processing | |
Data Quality | |
data selection | |
Data sharing | |
data storage | |
data volume | |
data-driven development | |
Dataflow Model | |
dataset | |
Dead code | |
Debugging | |
Deep learning | |
Denial of Service (DoS) | |
Design Space | |
Developer | |
developing country | |
DevOps | |
Digital Health Applications | |
digital twin | |
Digital Twins | |
Distributed systems | |
Domain analysis | |
domain-specific languages | |
Drones | |
E | |
Edge | |
edge to cloud | |
effort estimation | |
Embedded systems | |
embedding | |
Empirical | |
Empirical interview study | |
Empirical Studies | |
Empirical study | |
End-to-End testing | |
Environmental sustainability | |
European Union | |
Evolution | |
Executable UML | |
Experimentation | |
F | |
fairness | |
fault-proneness | |
Federated Data Analytics | |
Field Testing | |
Flexible work | |
Fog | |
formal concept analysis | |
fUML | |
functional size | |
G | |
Gamification | |
Generative Adversarial Network | |
Generative AI | |
generosity | |
Github Mining | |
Goal Modeling | |
GPT-4 for documentation | |
Green software | |
group dynamics | |
H | |
Hard Skills | |
Hierarchical Composition | |
Hybrid Systems | |
Hybrid Work | |
I | |
industrial JIRA projects | |
Industry | |
Industry 4.0 | |
information retrieval | |
Information System | |
infrastructure as code | |
innovation | |
Intent management | |
Internet of Things (IoT) | |
interview study | |
interviews | |
IR-based bug localization | |
ISBSG | |
J | |
Julia | |
K | |
Kubeflow | |
Kubernetes | |
L | |
Labour Market Analytics | |
Large Language Models | |
Large scale | |
lifecycle pipeline | |
literature review | |
littering | |
Log Analysis | |
Log Files | |
Log Frequency Patterns | |
logs | |
Low-code | |
M | |
Machine Learning | |
Maintainability | |
management | |
management training | |
MDE | |
measurement | |
Medical Devices | |
merge event bias | |
Metamorphic Relations | |
Metamorphic Testing | |
metrics | |
micro-optimisation | |
microservice | |
microservices | |
mining software repositories | |
MITRE | |
ML platforms | |
MLOps | |
model consistency | |
model inconsistency | |
model management | |
model-based development | |
Model-Driven Engineering | |
Model-Driven Software Development | |
Modeling assistant | |
Models@run.time | |
monitoring | |
multi-class classification | |
multi-modal data | |
multi/many core processors | |
N | |
natural language processing | |
Navigation Satellite Systems | |
NLP | |
O | |
object detection | |
Object-Orientation | |
Online Work | |
Ontology | |
Open-Source | |
Operational Scenario | |
Optimization | |
organizational change | |
P | |
PA (Process Automation) | |
parameter extraction | |
Pattern Mining | |
Pedestrian Detection | |
performance metrics | |
performance optimisation | |
Petri nets | |
Polymorphism | |
prediction | |
Pretrained language models | |
Process debt | |
process improvement | |
Productivity | |
programming | |
Programming Languages | |
project management | |
project time estimation | |
Python Dataset | |
Q | |
qualitative study | |
quality of test code | |
Quality-in-use | |
R | |
Rapid Review (RR) | |
Real-Time Systems | |
Refactoring | |
Reliability | |
Remote work | |
requirement conflict | |
Resources | |
Reuse | |
risk analysis | |
Role | |
runtime monitoring data | |
S | |
Safety Assurance | |
Safety Testing | |
SAR | |
Scenario Prioritization | |
Scenario Selection | |
SE practices for continuous AI development | |
secure | |
Security | |
Security Assurance | |
security issues | |
Self-Adaptive Systems | |
self-apdative systems | |
Simulation | |
Simulation-based Testing | |
Skill gaps | |
Small Uncrewed Aerial Systems | |
Smart Manufacturing | |
Smart-Troubleshooting | |
Social debt | |
Soft Skills | |
software architecture | |
software container | |
Software debugging | |
Software Define Network (SDN) | |
software development | |
Software Development Waste | |
Software Ecosystems | |
software engineering | |
software industry | |
Software Measures | |
Software Metrics | |
Software Organizational Structures | |
software patterns | |
software practitioner | |
software process | |
software projects | |
Software quality | |
software repository mining | |
Software requirements | |
software size measurement | |
Software sustainability | |
software tasks classification | |
Software testing | |
Software-intensive system of systems | |
SonarQube | |
SonarQube Mining | |
Source code summarization | |
standardization | |
static code analysis | |
Static Timing Analysis | |
Supply Chain Monitoring | |
Symbolic Regression | |
Synthetic Data | |
System Identification | |
System-Level Verification | |
Systematic Literature Review | |
Systematic Mapping | |
Systematic mapping study | |
SZZ | |
T | |
teaching | |
team maturity | |
Technical debt | |
telemetry | |
Terms—Automated Driving System (ADS) | |
tertiary study | |
Test Oracle | |
Test orchestration | |
test smell | |
Tester | |
Testing | |
time analysis | |
Tool | |
traces | |
Transformer models | |
Travel Recommender Systems | |
Trusted Data Sharing | |
Trustworthiness | |
U | |
UAV | |
UML | |
unit testing | |
university | |
Usability | |
Use Case | |
User Acceptance Testing | |
User Engagement | |
User experience | |
User Experience (UX) | |
user satisfaction | |
V | |
V2V | |
Vehicle-to-Vehicle | |
Vulnerability | |
W | |
Websites | |
Work From Home (WFH) | |
Workflow automation | |
X | |
Xtext | |
Y | |
YOLO |