Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study-Reference-Cited by-同舟云学术

Managing Technical Debt Using Intelligent Techniques - A Systematic Mapping Study

Published:2023-04-01 Issue:4 Volume:49 Page:2202-2220
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Albuquerque Danyllo¹^ORCID,Guimarães Everton²^ORCID,Tonin Graziela³,Rodríguezs Pilar⁴^ORCID,Perkusich Mirko¹^ORCID,Almeida Hyggo¹,Perkusich Angelo¹^ORCID,Chagas Ferdinandy¹

Affiliation:

1. Intelligent Software Engineering Group (ISE/VIRTUS), Federal University of Campina Grande, Campina Grande, PB, Brazil

2. Pennsylvania State University, Malvern, PA, USA

3. Federal University of Fronteira Sul, Chapecó, SC, Brazil

4. Polytechnic University of Madrid, Madrid, Spain

Funder

IFPB employee qualification incentive program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Link

http://xplorestaging.ieee.org/ielx7/32/10103953/09919389.pdf?arnumber=9919389

Reference58 articles.

1. Neural Network-based Detection of Self-Admitted Technical Debt

2. An Emerging Approach to Intelligent Techniques—Soft Computing and Its Application

3. Identification of Self-Admitted Technical Debt Using Enhanced Feature Selection Based on Word Embedding

4. A genetic algorithm approach to release planning in agile environment

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