Research group

Intelligent Collaboration Tools Lab

ICTLFlow

Kovalenko VladimirActive

Most of the ICTL projects are based on various collaboration data from different sources. Each data source has a different API, and provides data that constantly changes. This, along with data security and privacy concerns, imposes significant added effort for mining the data.

Our solution is a flexible standalone application that mirrors some of the data, updates it automatically, and is capable of running custom scripts for time-consuming processing tasks.

The purpose of this project is to build a cloud-native platform for mining and analysis of collaboration records in software engineering.

Participants

Kovalenko Vladimir
Kovalenko Vladimir