Building Software That Lasts

This presentation, "Building Software That Lasts: AI for Smarter Software Maintenance," explores how Artificial Intelligence can optimize software maintenance activities, a crucial and often budget-intensive phase of the software lifecycle. It introduces the Maintainability Index (MI) as a popular metric for assessing code evolvability and discusses current research gaps and popular AI approaches in this domain.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-06
DOI
https://doi.org/10.5281/zenodo.15603482
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Building Software That Lasts

Zenodo (CERN European Organization for Nuclear Research)
Software Engineering Research
article

Building Software That Lasts

article en

Abstract

This presentation, "Building Software That Lasts: AI for Smarter Software Maintenance," explores how Artificial Intelligence can optimize software maintenance activities, a crucial and often budget-intensive phase of the software lifecycle. It introduces the Maintainability Index (MI) as a popular metric for assessing code evolvability and discusses current research gaps and popular AI approaches in this domain.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Software Engineering Research
DOIOpen Access PDFOpenAlex
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Building Software That Lasts · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS