Model based approach to study Defect Dependency in Large Scale Integrated Software Products

TL;DR

This paper introduces a model-based method for analyzing defect dependencies in large-scale integrated software products to prevent critical post-release defects, validated through industry pilot projects.

Contribution

It presents a novel model-based approach specifically designed to study defect dependencies in complex integrated software systems, aiding in defect prediction and management.

Findings

Effective identification of defect dependencies in large systems

Reduction in post-release critical defects

Validated approach through industry pilot projects

Abstract

Large organizations have diverse product offerings to meet various business needs. To increase revenue, its common these days to offer software products as integrated product suite(s) rather than individual products. Creating and maintaining high quality software products within the integrated product suite requires rigorous product engineering methods. The sheer size of products and dependencies involved tend to raise unidentified defects that may become critical post product upgrades or after every release cycle. It is difficult to track such defects and its widespread across underlying sub-products. In this paper, we present a model based approach to study the defect dependency in large scale integrated software products to avoid surprise defects after product release. To validate the approach, we have applied it on some pilot projects in industry.