Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Fri 15 Nov 2019 11:00 - 11:30 at Cortez 3 - Software Engineering Intelligence via NLP

Machine learning based data-driven solutions have potential to significantly improve quality of incident management process and make it cost effective. We present our experiences while addressing a spectrum of interrelated problems encountered in practice including identifying semantically related incidents, assignee recommendation, and mapping of incidents to business processes. We argue that despite long-standing research, it is not always straightforward to adopt recommendations from research into practice due to variability and complexity of business constraints and nature of data. We discuss need for meta-level analysis and suggest our own recommendations towards designing pragmatic solutions with low barriers to adoption and addressing right level of challenges.

Fri 15 Nov

11:00 - 12:30: SEI 2019 - Software Engineering Intelligence via NLP at Cortez 3
SEI-2019-papers11:00 - 11:30
Mining Text in Incident Repositories: Experiences and Perspectives on Adopting Machine Learning Solutions in Practice.
SEI-2019-papers11:30 - 12:00
Predicting Defects with Latent and Semantic Features from Commit Logs in an Industrial Setting.
SEI-2019-papers12:00 - 12:30
Where Does LDA Sit for GitHub?