eng Ansari Education and Research Society Journal of Ultra Scientist of Physical Sciences December 2008 20 3 741 748 jusps-B 1399 article S. CHITRA 1 K. THIAGARAJAN 2 M. RAJARAM 3 Department of Computer Science and Engineering M. Kumarasamy College of Engineering, Karur, Tamil Nadu (INDIA) Department of Mathematics, Rajalakshi Engineering College, Thandalam, Chennai, Tamil Nadu (INDIA) Department of Electrical and Electronics, Thanthai Periyar Govt. College, Tech. Vellore, Tamil Nadu (INDIA) <p style="text-align: justify;">Software is an integral part of many critical and non-critical applications, and virtually any industry is dependent on computers for their basic functioning. Techniques to measure and ensure reliability of hardware have seen rapid advances, leaving Software as the bottleneck in achieving overall system reliability. Hence there rises a situation for the developers to develop high quality software. Having that in mind it is necessary to provide the reliability of the software to the developers before it is shipped. This can be achieved based on immune system. The immune system that is otherwise known as &#39;second brain&#39; for its abilities to recognize new intruders and remember past occurrences. Simulating the immune system or translating immune system mechanisms into software learning is an interesting topic on its own. This will produce high quality, reliable results over a wide variety of problems compared to a range of other approaches, without the need of expert fine-tuning.<br /> &nbsp;</p> https://ultraphysicalsciences.org/paper/1399/ Artificial Recognition Balls Artificial Immune Recognition System Operating systems software reliability growth models Software Failure Rate.