The cost and test resources needed for testing increases along with the test suite magnitude. To abode this magnitude snag an efficient systematic plan is proposed to derive a well-known nominal subgroup which will plentifully ceil the investigator’s objectives. In the motive of corroborating the augmented version of software, it is fruitless of re-executing the entire fault-finding scenarios. An ingenious Knowledge-Based Collaborative (KBC) approach is formulated to face the test suite size problem, the minimal subset of test case is derived heuristically based on expertise testers’ knowledge and the crucial fault-finding cases are ordered heuristically, so the most beneficial are executed first to enhance the test case execution. The lion’s share of the fault checker is assessing the faults to heighten the system’s working performance. The experimental study is made and the result is presented to illustrate the efficacy by incorporating the fault discovering cadent. Betterment credit achieved in ordering the fault-finding cases is shown by visualizing the comparative result of test case execution with ordered and disordered set of test cases based on fault espial. © BEIESP.