most citedA Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE2021★ 1 cited

Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation

Sina Gholamian, Paul A. S. Ward

Software developers embed logging statements inside the source code as an imperative duty in modern software development as log files are necessary for tracking down runtime system…

cs.SE2021★ 3 cited

A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis

Sina Gholamian, Paul A. S. Ward

Logs are widely used to record runtime information of software systems, such as the timestamp and the importance of an event, the unique ID of the source of the log, and a part of…

cs.DC2021★ 1 cited

Transaction Placement in Sharded Blockchains

Liuyang Ren, Paul A. S. Ward

While many researchers adopt a sharding approach to design scaling blockchains, few works have studied the transaction placement problem incurred by sharding protocols. The widely-…

cs.DC2021

What Distributed Systems Say: A Study of Seven Spark Application Logs

Sina Gholamian, Paul A. S. Ward

Execution logs are a crucial medium as they record runtime information of software systems. Although extensive logs are helpful to provide valuable details to identify the root cau…

cs.LG2021

Predicting student performance using data from an auto-grading system

Huanyi Chen, Paul A. S. Ward

As online auto-grading systems appear, information obtained from those systems can potentially enable researchers to create predictive models to predict student behaviour and perfo…