Method Evaluation for Software Testability on Object Oriented Code

In software testability, there are various software measurement methods and metrics available for selection. To conduct the software testability evaluation, the combination of software expert tester judgement and appropriate metrics selection has reflected the of software quality accuracy. However, due to perspective of software expert tester, the software measurement and metric selection can lead to an inaccurate software testability result. Moreover, time and budget waste in conduct the software testability evaluation. Thus, this research aims to develop a testability measurement on model on Object-oriented programming software that will facilitate the accurate evaluation result. The investigation on how the factors of classes in a system influent the test effort. The research covers the gap analysis, automatic model creation with ANNs of AI Technology, and testability evaluation result comparison.