Name
Abstract | ||
|---|---|---|
Abstract Most existing software optimization research assumes advance knowledge,of the component,parameters. Perfect future knowledge,of fault detection is an unnecessary over- simplification and greatly diminishes the applicability of the previously proposed techniques. While efficient resource al- location is essential, these studies ignore the importance of components,within a software’s architecture. In this paper we present an adaptive optimization procedure,that peri- odically assesses the testing process and allocates time to components. Using a case study, we illustrate how our ap- proach adapts, increasing resources to a component when more failures are observed during testing. The results sug- gest that this interactive method is responsive to clusters of faults encountered during testing and can help to minimize the time needed to optimize software. |
Year | Venue | Keywords |
|---|---|---|
2009 | SEKE | resource allocation,fault detection,adaptive optimization,software systems |
Field | DocType | Citations |
Computer science,Software system,Resource allocation,Modular design,Software construction,Operating system,Software development | Conference | 1 |
PageRank | References | Authors |
0.35 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lance Fiondella | 1 | 104 | 16.23 |
| Swapna S. Gokhale | 2 | 860 | 77.93 |