21 citations · 21 across the 4 of their papers we have counts for
6 papers
When Does the Dependency Graph Help Code-to-Architecture Mapping?
Rakhshanda Jabeen, Morgan Ericsson, Jonas Nordqvist +1
Architectural technical debt arises when a system's implementation drifts from its inten ded modular decomposition, while the mapping between source files and architectural modu le…
Fine-grained Computation-Communication Overlap via Tile-level Signaling and Scheduling for Mixture-of-Experts
Minyu Cui, Anna Wingkvist, Morgan Ericsson
Mixture-of-Experts (MoE) architectures increase model capacity without proportionally increasing computation cost and have become a key building block for scaling large language mo…
Assessing the Linguistic Quality of REST APIs for IoT Applications
Francis Palma, Tobias Olsson, Anna Wingkvist +1
Internet of Things (IoT) is a growing technology that relies on connected 'things' that gather data from peer devices and send data to servers via APIs (Application Programming Int…
Aggregation as Unsupervised Learning and its Evaluation
Maria Ulan, Welf Löwe, Morgan Ericsson +1
Regression uses supervised machine learning to find a model that combines several independent variables to predict a dependent variable based on ground truth (labeled) data, i.e.,…
To Automatically Map Source Code Entities to Architectural Modules with Naive Bayes
Tobias Olsson, Morgan Ericsson, Anna Wingkvist
Background: The process of mapping a source code entity onto an architectural module is to a large degree a manual task. Automating this process could increase the use of static ar…
Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities
Sebastian Hönel, Morgan Ericsson, Welf Löwe +1
Source code is changed for a reason, e.g., to adapt, correct, or adapt it. This reason can provide valuable insight into the development process but is rarely explicitly documented…