
Perform Risk Analysis and Gauge the Quality of you Products in Development By Predicting Potential Bugs
Perform Risk Analysis and Gauge the Quality of you Products in Development By Predicting Potential Bugs
Perform Risk Analysis and Gauge the Quality of you Products in Development By Predicting Potential Bugs
More details
Hourglass Bug Predictor is a Command Line Tool that integrates with Jira and uses Machine Learning to predict the future quality of your products in development. It will predict how many bugs you should expect in the next seven days, from the time the software is run.It will query your Jira tracking system for Bugs under a specified Jira “Project”. Based on the data it finds in your Jira Management System, it will train a Machine Learning Model and the predict the number of bugs you should expect to find in the following week of your development.For example, it will tell you/predict that there will be 5 bugs in the next week or some other prediction value. The prediction takes into account the fields of your Jira Bugs both for training as well as prediction. The prediction feature vector also takes historical timelines and grouping of your bug data and respective attributes.This will help you gauge the quality of your systems.
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Versions
Jira Cloud • Released 2020-10-12
Summary
Initial Release
Installation
- Windows a.Download the ZIP file and extract it in the root of you C:\drive (ie: C:\Hourglass Bug Predictor) MacOS a.Extract the zip file to the root of /Users/ directory (ie:/Users/Hourglass Bug Predictor)
- DO NOT DELETE ANY FILES OR FOLDERS a.The Application binary classes will be in the \bin folder b.Runtime dependencies will be in the \dependencies folder (do not delete any)
- The ZIP file includes a sample input schema file and a sample input parameter data file
- Make sure you have Java (8) bin in your PATH environment variables and JAVA_HOME
- (NOTE: to change location of #1 or #2, you must update the dependencies path in the .bat or .sh files) Include Linux support.