Add to ORKGAppropriate selection of unit tests during the software development process is vital when many unit tests exist. The developer may be unfamiliar with some tests and non-obvious relationships between application code and test code may exist. Poor test selection may lead to defects. This is especially true when the application is large and many developers are involved. By the application of association rule mining to the unit test selection process and by comparison with extant selection techniques, we will provide a quantitative analysis of the benefits of heuristic and its limit to development where process patterns are stable
In this paper the application of rule mining in order to review the effective factors on supplier se...
Much current software defect prediction work concentrates on the number of defects remaining in soft...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
A testing module in the life cycle of a software development plays a crucial role for its developmen...
Unit testing is generally accepted as an aid to produce high quality code, and can provide quick fee...
Paper accepted for publication in the proceedings of the 6th International Working Conference on Min...
Unit tests are generally acknowledged as an important aid to produce high quality code, as they prov...
Abstract: Effective methods for model structure selection are very important for data-driven modelli...
This paper proposes a method to mine rules from software engineering data repositories that contain ...
In software defect prediction, predictive models are estimated based on various code attributes to a...
Abstract—Applying code changes to software systems and testing these code changes can be a complex t...
Abstract—Numerous software development practices suggest updating the test code whenever the product...
This research compares the performance of three popular Association Rule Mining algorithms, namely A...
With the development of database technology, the need for data mining arises. As a result, Associati...
AbstractIn the field of data mining, deriving set of rules from large dataset is primary objective. ...
In this paper the application of rule mining in order to review the effective factors on supplier se...
Much current software defect prediction work concentrates on the number of defects remaining in soft...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
A testing module in the life cycle of a software development plays a crucial role for its developmen...
Unit testing is generally accepted as an aid to produce high quality code, and can provide quick fee...
Paper accepted for publication in the proceedings of the 6th International Working Conference on Min...
Unit tests are generally acknowledged as an important aid to produce high quality code, as they prov...
Abstract: Effective methods for model structure selection are very important for data-driven modelli...
This paper proposes a method to mine rules from software engineering data repositories that contain ...
In software defect prediction, predictive models are estimated based on various code attributes to a...
Abstract—Applying code changes to software systems and testing these code changes can be a complex t...
Abstract—Numerous software development practices suggest updating the test code whenever the product...
This research compares the performance of three popular Association Rule Mining algorithms, namely A...
With the development of database technology, the need for data mining arises. As a result, Associati...
AbstractIn the field of data mining, deriving set of rules from large dataset is primary objective. ...
In this paper the application of rule mining in order to review the effective factors on supplier se...
Much current software defect prediction work concentrates on the number of defects remaining in soft...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...