Name
Abstract | ||
|---|---|---|
The amount of software in modern vehicles is constantly growing. However, the risk for functional and quality deficiencies increases simultaneously with size. This results in industry for example in inevitable and unexpected refactorings of software models, which is slowing down development processes in turn. In this industrial case study, we evaluate model growth predictors applied to foresee critical model size developments. We present five approaches and systematically compare them regarding prediction accuracy. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICSE-C.2017.66 | ICSE (Companion Volume) |
Keywords | Field | DocType |
software models,software development processes,critical model size developments,model size predictors,functional deficiencies,quality deficiencies,automotive industry | Data modeling,Software engineering,Computer science,Software,Word2vec | Conference |
ISSN | ISBN | Citations |
2574-1926 | 978-1-5386-1590-4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Schroeder | 1 | 8 | 2.95 |
| Christian Berger | 2 | 214 | 33.01 |
| Alessia Knauss | 3 | 67 | 8.97 |
| Harri Preenja | 4 | 0 | 0.68 |
| Mohammad Ali | 5 | 37 | 5.12 |
| Miroslaw Staron | 6 | 486 | 52.25 |
| Thomas Herpel | 7 | 1 | 1.64 |