Two Dimensional Software Reliability Growth Models Using Cobb-Douglas Production Function and Yamada S-Shaped Model

Software reliability is the likelihood of the failure free function of software in a given period of time under some certain circumstances. Software testing can be defined as the process to detect the faults in totality and worth of developed computer software. Testing is very much important in assuring the quality of the software by identifying faults in software, and also most possibly removing them to make the software more efficient. But testing of the software for a long time may not ensure a bug free software and high reliability. Optimum amount of code also needs to be covered to make sure that the software is of good quality. Testing time alone may not give the correct picture of the number of faults removed in the software. Therefore to capture the combined effect of testing time and testing coverage we propose two dimensional software reliability growth models by using Cobb-Douglas production function by incorporating the effect of testing time and testing coverage on the number of faults removed in the software system. In this paper, we develop an Sshaped model with imperfect debugging and fault generation to solve the above issues occurred during the testing of software. The proposed model is validated on real data sets.