Abstract
Different tools adopt different terms, metrics, and ways to identify and measure technical debt. We attempt to clarify the situation by comparing the features and popularity of technical debt measurement tools and analyzing the existing empirical evidence on their validity.
| Original language | English |
|---|---|
| Pages (from-to) | 61-71 |
| Journal | IEEE Software |
| Volume | 38 |
| Issue number | 3 |
| Early online date | 2020 |
| DOIs | |
| Publication status | Published - 2021 |
| Publication type | A1 Journal article-refereed |
Keywords
- Technical Debt
- Tools
- Source Code Analysis
- Software Quality
Publication forum classification
- Publication forum level 2
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