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Found 6 papers, 2 papers with code
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
To recommend the use of LLMs in the screening process of SRs, more research is needed.
LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector
By integrating diverse datasets, log representation methods and anomaly detectors, LogLead facilitates comprehensive benchmarking in log analysis research.
PENTACET data -- 23 Million Contextual Code Comments and 250,000 SATD comments
Most Self-Admitted Technical Debt (SATD) research utilizes explicit SATD features such as 'TODO' and 'FIXME' for SATD detection.
OneLog: Towards End-to-End Training in Software Log Anomaly Detection
We also found that cross-project anomaly detection is possible with a single project pair (Liberty and Spirit).
Detecting Anomalies in Software Execution Logs with Siamese Network
Additionally, we propose a hybrid model by combining the Siamese network with a traditional feedforward neural network to make end-to-end training possible, reducing engineering effort in setting up a deep-learning-based log anomaly detector.
Anomaly Detection
Software Engineering
Measuring LDA Topic Stability from Clusters of Replicated Runs
For the clusters, we try multiple stability metrics, out of which we recommend Rank-Biased Overlap, showing the stability of the topics inside the clusters.
