Name
Abstract | ||
|---|---|---|
Software undergoes many changes during maintenance due to shortened development cycles and increased frequency of software updates because of errors, incompatibility or missing functionalities. Impact Analysis is the process of estimating the effect of such changes on the software system after or before modifications. More recently, researchers have begun to investigate dynamic impact-analysis techniques which rely on dynamic information (collected during run time) about software behavior. In this paper, we present a new technique for dynamic impact analysis. The technique is based on a novel algorithm that collects only the essential dynamic information required to be analyzed during regression testing. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.4156/jdcta.vol3.issue4.12 | JDCTA |
Keywords | Field | DocType |
software maintenance,software testing.,dynamic analysis,impact analysis,regression testing,software systems,software testing | Data mining,Computer science,Software reliability testing,Artificial intelligence,Dynamic program analysis,Software sizing,Software development,Regression testing,Software construction,Software verification and validation,Software quality,Machine learning,Database | Journal |
Volume | Issue | Citations |
3 | 4 | 4 |
PageRank | References | Authors |
0.41 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chetna Gupta | 1 | 22 | 8.92 |
| Yogesh Singh Chauhan | 2 | 29 | 8.88 |
| Durg Singh Chauhan | 3 | 132 | 21.73 |