Name
Abstract | ||
|---|---|---|
•A class-level directed network model based on information flow is introduced.•An evaluation scheme to quantify the risk indexes of classes is proposed.•TCP technique based on the risk coverage of barbell motifs is presented.•Risk-based TCP technique improves the high-risk fault detection efficiency.•Risk-based TCP technique performs stably across different systems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jss.2018.01.033 | Journal of Systems and Software |
Keywords | Field | DocType |
Regression testing,Test case prioritization,Probabilistic risk analysis,Information flow,Complex network | Information flow (information theory),Data mining,Scheduling (computing),Probabilistic risk assessment,Computer science,Risk analysis (business),Real-time computing,Software,Test case,Component-based software engineering,Fault tree analysis | Journal |
Volume | Issue | ISSN |
139 | C | 0164-1212 |
Citations | PageRank | References |
1 | 0.35 | 37 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Wang | 1 | 3 | 2.06 |
| Zhu Zhiliang | 2 | 11 | 3.29 |
| Bo Yang | 3 | 1 | 0.69 |
| Fangda Guo | 4 | 51 | 3.20 |
| Hai Yu | 5 | 283 | 17.63 |