Proceedings of the International Conference on Technical Debt 2022
DOI: 10.1145/3524843.3528096
|View full text |Cite
|
Sign up to set email alerts
|

Technical debt prioritization

Abstract: and telling us what having access to this work means to you and why it's important to you. Thank you.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 15 publications
0
4
0
Order By: Relevance
“…In this study, we developed and evaluated context-adaptive machine learning methods to assist in technical debt prioritization. First, we used the Sonarlizer Xplorer (Pina, Goldman, and Seaman, 2022) to build a dataset with code technical debt items from Java projects hosted on public GitHub repositories. We used InterasurveyTD (Pina, Goldman, and Seaman, 2022) to apply a survey to the project developers.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…In this study, we developed and evaluated context-adaptive machine learning methods to assist in technical debt prioritization. First, we used the Sonarlizer Xplorer (Pina, Goldman, and Seaman, 2022) to build a dataset with code technical debt items from Java projects hosted on public GitHub repositories. We used InterasurveyTD (Pina, Goldman, and Seaman, 2022) to apply a survey to the project developers.…”
Section: Methodsmentioning
confidence: 99%
“…First, we used the Sonarlizer Xplorer (Pina, Goldman, and Seaman, 2022) to build a dataset with code technical debt items from Java projects hosted on public GitHub repositories. We used InterasurveyTD (Pina, Goldman, and Seaman, 2022) to apply a survey to the project developers. The survey asked developers about the payment priority level for technical debt items for software projects they have contributed.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations