Years of software testing research have provided us with new methods to reason about and test the behavior of large software systems with hundreds of thousands of lines of code. Many of these methods, including genetic algorithms, swarm intelligence, and ant colony optimization, were inspired by nature. They do, however, employ a one-way comparison, implying that they are taking from nature without giving back. In this work, MOOD metrics are extensively used in the Object-Oriented world to measure various characteristics of a programme. A Java programme assessment and grading system based on the MOOD was developed in this study. The MOOD metrics for Java programmes have been adjusted as a result of experimentation so that they may be examined. A weight factor has also been included to illustrate the significance of each characteristic's value. The system has been tested with a variety of applications, each with its own degree of intricacy and usefulness. Furthermore, the University of Jordan has put the metrics to the test in terms of evaluating and grading student programmes. The system routinely produces favourable results.

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