The Evolution of Technical Debt from DevOps to Generative AI: A multivocal literature review
Authors:
- Sergio MoreschiniSMSergio Moreschini
- Elvira-Maria ArvanitouEAElvira-Maria Arvanitou
- Elisavet-Persefoni KanidouEKElisavet-Persefoni Kanidou
- Nikolaos NikolaidisNNNikolaos Nikolaidis
- Ruoyu SuRSRuoyu Su
- Apostolos AmpatzoglouAAApostolos Ampatzoglou
- Alexander ChatzigeorgiouACAlexander Chatzigeorgiou
- Valentina LenarduzziVLValentina Lenarduzzi
Open Access
- 27 August 2025
- journal article
- Published by Elsevier in Journal of Systems and Software
- Vol. 231
Abstract
No abstract availableFunding Information
- Business Finland
- Horizon Europe (101058479)
This publication has 43 references indexed in Scilit:
- Technical debt in systems engineering—A systematic literature reviewSystems Engineering, 2023
- Self-admitted technical debt in R: detection and causesAutomated Software Engineering, 2022
- Identifying self-admitted technical debt in issue tracking systems using machine learningEmpirical Software Engineering, 2022
- AI4SE and SE4AI: A Research RoadmapINSIGHT, 2020
- A tertiary study on technical debt: Types, management strategies, research trends, and base information for practitionersInformation and Software Technology, 2018
- Analyzing the concept of technical debt in the context of agile software development: A systematic literature reviewInformation and Software Technology, 2017
- Identification and management of technical debt: A systematic mapping studyInformation and Software Technology, 2016
- The financial aspect of managing technical debt: A systematic literature reviewInformation and Software Technology, 2015
- A systematic review of systematic review process research in software engineeringInformation and Software Technology, 2013
- Empirical studies of agile software development: A systematic reviewInformation and Software Technology, 2008