mlsanityData to 14 Oct 2026

A Process Mining-Based System For The Analysis and Prediction of Software Development Workflows

arXiv 2510.25935 ↗First posted 29 Oct 2025cs.SE cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

CodeSight is an end-to-end system designed to anticipate deadline compliance in software development workflows. It captures development and deployment data directly from GitHub, transforming it into process mining logs for detailed analysis. From these logs, the system generates metrics and dashboards that provide actionable insights into PR activity patterns and workflow efficiency. Building on this structured representation, CodeSight employs an LSTM model that predicts remaining PR resolution times based on sequential activity traces and static features, enabling early identification of potential deadline breaches. In tests, the system demonstrates high precision and F1 scores in predicting deadline compliance, illustrating the value of integrating process mining with machine learning for proactive software project management.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 15 references that are in the map. First posted on arXiv 29 Oct 2025.

Builds on

1 of 15 references.

References · 1

  1. 2016Predictive Business Process Monitoring with LSTM Neural Networkscited by 104

Built on by

Not cited yet.