Imperfect debugging models with fault introduction rate for software reliability assessment

Reliability Modeling of OSS Systems based on Innovation-Diffusion Theory and Imperfect Debugging

“…Different fault content functions for corresponding to the cases of perfect and imperfect debugging are discussed as follows, process that does not incorporate additional faults in the software is referred to as perfect debugging. a ( N )=a (1+αN ) (6) Case 3: In this case, we consider an exponential fault content function using Yamada et al [21], it means faults are introduced exponentially with respect to number of users.…”

On the Choice of an Appropriate Software Reliability Growth Model

“…In these methods, information concerning the development of software product, the method of failure detection, environmental factors, etc, is generally not used. [14], Delayed S-Shaped Model [13], Yamada imperfect debugging Model2 [14], Yamada exponential Model [13], P-N-Z Model [9], P-Z Model [9], Pham Zhang IFD Model [15] and Zhang-Teng-Pham Model [15].…”

“…More than 50 software models have been proposed in literature [2], [3], [8], [9], [13], [14]. However none of these is effective in even types of situation.…”

Software Reliability Estimation using Yamada delayed S Shaped Model under Imperfect Debugging and Time Lag

“…If some of the detected faults are not removed with certainty or new faults introduced during debugging process then it is called imperfect debugging. Yamada, Tokunou and Osaki [12] studied imperfect debugging model models with fault introduction rate. Xie and Yang [13] analyzed imperfect debugging on software development cost.…”