Capturing The Combined Effect Of Testing Time And Testing Coverage Using Two Dimensional Software Reliability Growth Models

Software Reliability is the likelihood of breakdown free operation of software in a provided time period under specified conditions. Software testing is a process to detect faults in the totality and worth of developed computer software. Testing is very essential tool in assuring the quality of the software by identifying different faults in software, and possibly removing them. But testing of this software for a long time may not ensure a bug free software and high reliability. Best possible 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 preview 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. We will assume that the number of faults detached in the software by a fixed time is dependent on the total testing resources accessible to the testing team. This testing resource will be a fusion of both testing time and testing coverage. We have used cobb-douglas production function to develop the two dimensional model incorporating the effect of testing time and testing coverage on the number of faults removed in the software system.