Early Warning System for Software Quality Issues Using Maintenance Metrics

EasyChair Preprint 13146

Abstract

When software systems are developed, one of the major milestones is usually the successful launch. However, in the overall life cycle models for software, this is only the first step into the expensive and lengthy phase, the maintenance. In this study, we analyse how to reduce the cost of software maintenance and manage complexity with an analysis tool that indicates the expected amount of maintenance work based on the first observations after a new release. Based on our initial findings, the maintenance indicators match the code review and revision needs, indicating further avenues for future development.

Keyphrases: early warning system, quality assurance, software maintenance, software quality

@booklet{EasyChair:13146,
  author    = {Dmitrii Savchenko and Timo Hynninen and Ossi Taipale and Kari Smolander and Jussi Kasurinen},
  title     = {Early Warning System for Software Quality Issues Using Maintenance Metrics},
  howpublished = {EasyChair Preprint 13146},
  year      = {EasyChair, 2024}}