Name
Title | ||
|---|---|---|
Selecting software reliability growth models and improving their predictive accuracy using historical projects data. |
Abstract | ||
|---|---|---|
•8 software reliability growth models are evaluated on 11 large projects.•Logistic and Gompertz models have the best fit and asymptote predictions.•Using growth rate from earlier projects improves asymptote prediction accuracy.•Trend analysis allows choosing the best shape of the model at 50% of project time. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jss.2014.08.033 | Journal of Systems and Software |
Keywords | Field | DocType |
Embedded software,Defect inflow,Software reliability growth models | Systems engineering,Computer science,Software reliability testing,Software development process,Software metric,Software construction,Software quality,Software verification and validation,Software development,Software sizing,Reliability engineering | Journal |
Volume | Issue | ISSN |
98 | C | 0164-1212 |
Citations | PageRank | References |
6 | 0.51 | 26 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rakesh Rana | 1 | 28 | 5.93 |
| Miroslaw Staron | 2 | 486 | 52.25 |
| Christian Berger | 3 | 214 | 33.01 |
| jorgen hansson | 4 | 421 | 35.04 |
| Martin Nilsson | 5 | 6 | 0.51 |
| Fredrik Törner | 6 | 70 | 8.43 |
| Wilhelm Meding | 7 | 212 | 18.66 |
| Christoffer Höglund | 8 | 21 | 1.53 |