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Name: Forrest Ye

Type: User

Forrest Ye's Projects

automated-bug-triaging-to-developer

For popular software systems, the number of daily submitted bug reports is high. Triaging these incoming bugs is a time consuming task. Major part of bug triaging is the assignment of a bug report to a developer with the appropriate expertise, who can resolve/fix the bug without reassigning to some other developer. We present an approach to automatically suggest developers who have the appropriate expertise for handling a bug report based on the identified software component the bug may reside in, obtained from the short description of the bug report. Our work is first to examine the impact of multiple machine learning dimensions( classifiers and training history) along with the ranked list of developers for prediction accuracy in bug assignment. We validate our approach on Eclipse Bugzilla covering 2,868,000 bug reports consisting of 253 components. We demonstrate that our techniques can achieve up to 93% prediction accuracy in bug assignment and significantly reduce the aberrant assignment of bugs. We compared the prediction time for our dataset using various algorithms such as Naive Bayes Text Classifier, Multinomial Naive Bayes and Linear SVM. We arrived at a conclusion that SVM provides higher prediction time and less learning time.

carbon-tutorial

An app for the Carbon Design System tutorial

charts

The IBM/charts repository provides helm charts for IBM and Third Party middleware.

ci.docker.dsm-enterprise

cks-course-environment

cloud-pak-deployer

Configuration-based installation of OpenShift and Cloud Pak for Data/Integration on various private and public cloud infrastructure providers. Deployment attempts to achieve the end-state defined in the configuration. If something fails along the way, you only need to restart the process to continue the route.

cp4d-monitors

Additional monitors for IBM Cloud Pak for Data, which can be deployed either using the IBM Cloud Pak Deployer, or using regular command line commands. The monitors adhere to the zen-watchdog interface and will be added to the Events and Alerts of Cloud Pak for Data. These monitors focus more on the functional usage of IBM Cloud Pak for Data and can be used to provide more insights into how the Cloud Pak for Data platform is used by its business users.