Philipp Leitner
Visar 53 publikationer
Machine Learning Systems are Bloated and Vulnerable
Machine learning systems are bloated and vulnerable
The Impact of Compiler Warnings on Code Quality in C++ Projects
Beyond Code Generation: An Observational Study of ChatGPT Usage in Software Engineering Practice
The roles, responsibilities, and skills of engineers in the era of microservices-based architectures
Machine learning systems are bloated and vulnerable
A unified active learning framework for annotating graph data for regression task
From Human-to-Human to Human-to-Bot Conversations in Software Engineering
Towards Continuous Performance Assessment of Java Applications With PerfBot
An empirical study of the systemic and technical migration towards microservices
The Perceived Impact and Sequence of Activities When Transitioning to Microservices
Automated Generation and Evaluation of JMH Microbenchmark Suites From Unit Tests
Using Microbenchmark Suites to Detect Application Performance Changes
Batch Mode Deep Active Learning for Regression on Graph Data
TriggerBench: A Performance Benchmark for Serverless Function Triggers
TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks
A systematic mapping study of source code representation for deep learning in software engineering
Using Benchmarking Bots for Continuous Performance Assessment
Dependency management bots in open-source systems—prevalence and adoption
CrossFit: Fine-grained Benchmarking of Serverless Application Performance across Cloud Providers
An Empirical Analysis of Microservices Systems Using Consumer-Driven Contract Testing
Facing the giant: A grounded theory study of decision-making in microservices migrations
The Migration Journey Towards Microservices
What's Wrong With My Benchmark Results? Studying Bad Practices in JMH Benchmarks
Applying test case prioritization to software microbenchmarks
Emerging Trends, Challenges, and Experiences in DevOps and Microservice APIs
Topology-aware continuous experimentation in microservice-based applications
Function-as-a-Service Performance Evaluation: A Multivocal Literature Review
Transpiling Applications into Optimized Serverless Orchestrations
Software Microbenchmarking in the Cloud. How Bad is it Really?
A mixed-method empirical study of Function-as-a-Service software development in industrial practice
Interactive Production Performance Feedback in the IDE
Cachematic – Automatic Invalidation in Application-Level Caching Systems
Performance Benchmarking of Infrastructure-as-a-Service (IaaS) Clouds with CloudWorkBench
Current and Future Bots in Software Development
An Evaluation of Open-Source Software Microbenchmark Suites for Continuous Performance Assessment
Search-Based Scheduling of Experiments in Continuous Deployment
Estimating Cloud Application Performance Based on Micro-Benchmark Profiling
Continuous Experimentation - Challenges, Implementation Techniques, and Current Research
PerformanceHat - Augmenting Source Code with Runtime Performance Traces in the IDE
We’re Doing It Live: A Multi-Method Empirical Study on Continuous Experimentation
A Cloud Benchmark Suite Combining Micro and Applications Benchmarks
Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World
Optimized IoT service placement in the fog
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