Name
Abstract | ||
|---|---|---|
Automatically generating test data to cover a given path is a challenging problem. This paper present a program execution based approach driven by component linear fitting functions. Here, component linear fitting functions built on inputs and values at decision points, are used to approximate constraints. They drive the search to reach constraints' solutions by calculating feasible intervals. Experiments show that the approach is effective and has good potentiality in treating nonlinear constraints and constraints with many local optimal points. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SERE-C.2012.40 | SERE (Companion) |
Keywords | Field | DocType |
decision point,feasible interval,local optimal point,nonlinear constraint,program execution,challenging problem,approximate constraint,automatically generating test data,component linear fitting function,path-oriented test data generation,good potentiality,component linear fitting functions,fitting,functions,approximation theory,vectors,mathematical model | Mathematical optimization,Nonlinear system,Computer science,Approximation theory,Software,Test data,Linear fitting,Program testing,Test data generation | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenxu Ding | 1 | 6 | 1.52 |
| Xin Chen | 2 | 102 | 32.63 |
| Peng Jiang | 3 | 16 | 7.17 |
| Nan Ye | 4 | 149 | 12.60 |
| Lei Bu | 5 | 3 | 2.83 |
| Li Xuandong | 6 | 672 | 79.78 |