Views provided by UsageCounts
During the construction of applications that require integration with databases, developers often dedicate a considerable amount of time writing the data access layer. Although there are some tools that aim at improving that process, it still demands a great amount of (usually default) code, which is error-prone, takes effort and time from the developer, and reduces the code reuse potential. This paper presents the DataQI.NET, a framework that encapsulates the complexity of those tools and makes possible the definition of customized queries through method signatures on interfaces that follow the Repository Pattern, allowing the developer to focus more on the business rules implementation. A comparative study is provided considering the implementation with and without the framework, demonstrating that, by using DataQI.NET, we obtain more homogeneous and standardized query methods that communicate, supporting code reuse and significant reduction on the lines of code and implementation time.
Data Persistence, Query Specification, Repository Pattern, Query Methods
Data Persistence, Query Specification, Repository Pattern, Query Methods
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 2 |

Views provided by UsageCounts