TestSmellEmpirical_Data is a collection of test smell data collected through thirteen open-source projects.
| Project | # Releases | # LOC in Source Code | # LOC in Test Code |
|---|---|---|---|
| Kafka | 9 | 95K-254K | 18K-101K |
| Groovy | 9 | 338K-393K | 8K-9K |
| Camel | 8 | 586K-1.0M | 379K-484K |
| Zookeeper | 4 | 128K-119K | 25K-36K |
| Cxf | 9 | 696K-753K | 195K-218K |
| Karaf | 11 | 132K-168K | 14K-17K |
| Flink | 8 | 338K-731K | 100K-234K |
| Accumulo | 7 | 420K-577K | 49K-47K |
| Hive | 11 | 3.5M-4.4M | 162K-221K |
| Bookkeeper | 9 | 102K-200K | 32K-85K |
| Wicket | 8 | 264K-257K | 54K-57K |
| Cassandra | 6 | 315K-184K | 43K-112K |
| Hadoop | 3 | 637K-1M | 418K-658K |
| Total | 102 | 6.9M-9.1M | 1.1M-1.6M |
TestSmellEmpirical_Data
│
├── Exp: RQ1 raw data on experience
│ ├── exp.csv: Experience vs test smell addition/removal
│ ├── size_exp.csv: Experience vs size of code change
├── Model:
│ ├── within: Within project modelling
│ ├── final.csv: Raw data for modelling
├── snaphots: RQ1 raw data on evolution
│ ├── 2016_2019_norm.csv: RQ1 change in magnitude of normalized data at 2016 vs 2019
│ ├── 2016_2019_raw.csv: RQ1 change in magnitude of raw data at 2016 vs 2019
│ ├── 2016_2019_Raw_Individual.csv: RQ1 time series evolution of test smells
├── testSmellChange: Raw data for test smells
│ ├── Project Name: Name of systems(i.e., Hadoop)
│ ├── ├── Date: Duration mined (i.e., 2017-02-14_TO_2017-08-14)
│ ├── ├── ├── testSmellChange: Test smell process information in the studied duration
│ ├── ├── ├── testSmellPresent: Test smell product information in the studied duration
├── model.R: R code for modelling
├── plot.R: R code for plotting (RQ1-3)
├── RQ2.csv: Analyzed instances for RQ2