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Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation
TLDR
A replication study of 21 different Java-based open source projects from three different categories shows that all projects contain logging code, which is actively maintained, however, contrary to the original study, bug reports containing log messages take a longer time to resolve than bug reports without log messages.
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Characterizing and Detecting Anti-Patterns in the Logging Code
TLDR
The problem of how-to-log is studied by characterizing and detecting the anti-patterns in the logging code by encoding them into a static code analysis tool, LCAnalyzer, which has an average recall of 95% and precision of 60% and can be used to automatically detect previously unknown anti- patterns in the source code.
View on ACM
Autostacker: a compositional evolutionary learning system
TLDR
An automatic machine learning modeling architecture called Autostacker is introduced that combines an innovative hierarchical stacking architecture and an evolutionary algorithm to perform efficient parameter search without the need for prior domain knowledge about the data or feature preprocessing.
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Oops! Predicting Unintentional Action in Video
TLDR
A dataset of in-the-wild videos of unintentional action, as well as a suite of tasks for recognizing, localizing, and anticipating its onset, and a supervised neural network is trained as a baseline and its performance compared to human consistency on the tasks is analyzed.
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An Automated Approach to Estimating Code Coverage Measures via Execution Logs
TLDR
An automated approach to estimating code coverage measures using the readily available execution logs, called LogCoCo, which matches the execution logs with their corresponding code paths and estimates three different code coverage criteria: method coverage, statement coverage, and branch coverage.
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SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
TLDR
This paper introduces SSCNav, an algorithm that explicitly models scene priors using a confidence-aware semantic scene completion module to complete the scene and guide the agent's navigation planning and demonstrates that the proposed scenepletion module improves the efficiency of the downstream navigation policies.
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Improving the Software Logging Practices in DevOps
  • Boyuan Chen
  • Computer Science
    IEEE/ACM 41st International Conference on…
  • 25 May 2019
DevOps refers to a set of practices dedicated to accelerating modern software engineering process. It breaks the barriers between software development and IT operations and aims to produce and…
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A Survey of Software Log Instrumentation
TLDR
There are two phases in software logging: log instrumentation and log messages, which are used widely in many software systems during software development and field operation.
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Workspace Aware Online Grasp Planning
This work provides a framework for a workspace aware online grasp planner. This framework greatly improves the performance of standard online grasp planning algorithms by incorporating a notion of…
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Extracting and studying the Logging-Code-Issue- Introducing changes in Java-based large-scale open source software systems
TLDR
This paper has extracted and studied the Logging-Code-Issue-Introducing (LCII) changes in six popular large-scale Java-based open source software systems and aims to derive well established logging guidelines through mining the historical logging code changes.
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