12 citations · 20 across the 6 of their papers we have counts for
6 papers
Continuous Deep Learning: A Workflow to Bring Models into Production
Janosch Baltensperger, Pasquale Salza, Harald C. Gall
Researchers have been highly active to investigate the classical machine learning workflow and integrate best practices from the software engineering lifecycle. However, deep learn…
Synthetic End-User Testing: Modeling Realistic Agents Based on Behavioral Examples
Pasquale Salza, Marco Edoardo Palma, Harald C. Gall
For software interacting directly with real-world end-users, it is common practice to script scenario tests validating the system's compliance with a number of its features. Howeve…
On-the-Fly Syntax Highlighting using Neural Networks
Marco Edoardo Palma, Pasquale Salza, Harald C. Gall
With the presence of online collaborative tools for software developers, source code is shared and consulted frequently, from code viewers to merge requests and code snippets. Typi…
Assemble Foundation Models for Automatic Code Summarization
Jian Gu, Pasquale Salza, Harald C. Gall
Automatic code summarization is beneficial to daily software development since it could help reduce the requirement of manual writing. Currently, artificial intelligence is undergo…
The Making of Cloud Applications An Empirical Study on Software Development for the Cloud
Jürgen Cito, Philipp Leitner, Thomas Fritz +1
Cloud computing is gaining more and more traction as a deployment and provisioning model for software. While a large body of research already covers how to optimally operate a clou…
Cloud WorkBench - Infrastructure-as-Code Based Cloud Benchmarking
Joel Scheuner, Philipp Leitner, Jurgen Cito +1
To optimally deploy their applications, users of Infrastructure-as-a-Service clouds are required to evaluate the costs and performance of different combinations of cloud configurat…