# Methodological Assessment of Data Suitability for Defect Prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/methodological-assessment-of-data-suitability-for-defect-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Peter Schlegel,Daniel Buschmann,Max Ellerich,Robert Schmitt |
| Citations | 4 |
| DOI | 10.12776/qip.v24i2.1443 |
| Fields | Business, Management and Accounting,Decision Sciences,Health Professions |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.qip-journal.eu/index.php/QIP/article/download/1443/1217 |
| OpenAlex ID | https://openalex.org/W3046403849 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Daniel Buschmann](https://scholariq.org/researchers/daniel-buschmann/)

## Paper journal

- [Quality Innovation Prosperity](https://scholariq.org/journals/quality-innovation-prosperity/)

## Paper primary topic

- [Data Quality and Management](https://scholariq.org/topics/data-quality-and-management/)

## Paper topics

- [Data Quality and Management](https://scholariq.org/topics/data-quality-and-management/)
- [Big Data and Business Intelligence](https://scholariq.org/topics/big-data-and-business-intelligence/)
- [Quality and Safety in Healthcare](https://scholariq.org/topics/quality-and-safety-in-healthcare/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.