An experience in automatically extracting CAPAs from code repositories

TL;DR

This paper discusses the development and implementation of TOM, a set of services and a bot that automatically analyzes code repositories to identify anomalies and suggest CAPAs to improve software development quality.

Contribution

It introduces TOM and @0capa, a novel automated system for extracting CAPAs from code repositories to enhance software process management.

Findings

Automated extraction of CAPAs from repositories.

Improved anomaly detection in software development.

Integration of TOM with GitHub repositories.

Abstract

TOM (stands for Theoretically Objective Measurements of Software Development Projects) is a set of services that are in charge of helping developers or teams in the process of identifying anomilies within their software development process, and providing a list of preventive or corrective actions (aka CAPAS) that positively impact the process. and in this way to improve the quality of the final product and its development process. In order to get help from TOM, it is as simple as adding our bot (@0capa) to the list of collaborators in your repository, and with this our bot will automatically take care of obtaining different metrics from your repository, in order to suggest actions to take into account to that in your future updates the identified anomalies are not repeated. This paper presents the underlying research on this idea.