Name
Abstract | ||
|---|---|---|
We propose the application of a modified radial basis function neural network in the context of software fault localization, to assist programmers in locating bugs effectively. This neural network is trained to learn the relationship between the statement coverage information of a test case and its corresponding execution result, success or failure. The trained network is then given as input a set... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TR.2011.2172031 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Neurons,Biological neural networks,Computer bugs,Radial basis function networks,Training,Software,Context | Software fault,Ranking,Computer science,Software bug,Software fault tolerance,Robustness (computer science),Software,Artificial intelligence,Virtual test,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
61 | 1 | 0018-9529 |
Citations | PageRank | References |
43 | 1.07 | 29 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| W. Eric Wong | 1 | 210 | 8.80 |
| Vidroha Debroy | 2 | 493 | 20.20 |
| Richard Golden | 3 | 59 | 2.08 |
| Xiaofeng Xu | 4 | 425 | 37.75 |
| Bhavani M. Thuraisingham | 5 | 2587 | 282.14 |