TypeSpaceBERT: A Deep Similarity Learning-based CodeBERT Model for Type Inference
Fine-tuning a large natural language model for the task of type inference in TypeScript, centered on similarity heuristics in Euclidean spaces. Paper.
Fine-tuning a large natural language model for the task of type inference in TypeScript, centered on similarity heuristics in Euclidean spaces. Paper.
Surveying, contrasting, and analyzing the current body of research in the field of automated test case generation for REST APIs. Paper.
Transforming a Jupyter Notebook ML application into a production-ready microservice-based system with extreme reproducibility and developer friendliness in mind. Paper. Code.
Implementing a novel evolutionary local search heuristic for the TSP problem and comparing its effects on three permutation-preserving encodings against the standard 2-opt heuristic. Paper.
Using a MaxSAT-based approach for solving the correlation clustering problem exactly, and comparing state of the art implementations from literature. Paper.
Proposing, implementing, and evaluating four novel evolutionary to model the behaviour of software systems based on their logs. Paper. Code.