The Crystal Ball Is Dead, We Do Software Analytics
summary
The talk explains using software analytics to analyze and modernize a long-lived monolithic legacy system before restructuring or decomposition. It demonstrates tooling-driven analysis of code structure and metrics on an open-source eCommerce system to reveal how business and technical concerns map into code, identify dependencies and risks, and support effort estimation through to the reorganization with suitable visualizations.
AI-written summary · about
chapters (5)
- 0:00Start
- 14:07Software Analytics
- 38:58Technical Structuring
- 41:56Domain Structuring
- 55:49Domain Dependencies
related talks
43mModernizing the Analytics and Data Science Lifecycle for the Scalable Enterprise: The SEAL Method
26mModern Analytics: One Size Does Not Fit All
19mThe Challenges of Product Analytics
39mBREAKING YOUR DATA TEAM OUT OF THE SERVICE TRAP
29mDoes Artificial Intelligence Replace the Crystal Ball? Big Data Analytics in the Energy Sector
39mSoftware Analytics with Data Science on Software Data
38mUnleashing the Power of Analytics Engineering
49mTransforming Analytical Data with Event-Driven Architecture