Assessing Software Reliability Using Exponential Imperfect Debugging Model

Software reliability is one of the most important characteristics of software quality. As the usage of software reliability is growing rapidly, accessing the software reliability is a critical task in development of a software system. So, many Software Reliability Growth Models (SRGM) are used in order to decide upon the reliable or unreliable of the developed software very quickly. The well known software reliability growth model called as Exponential Imperfect Debugging model is a two parameter Non Homogeneous Poisson Process model which is widely used in software reliability growth modeling. In this paper, we propose to apply Statistical Process Control (SPC) to monitor software reliability process. A control mechanism is proposed based on the cumulative observations of failures which are grouped using mean value function of the Exponential Imperfect Debugging model. The Maximum Likelihood Estimation (MLE) approach is used to estimate the unknown parameters of the model. The process is illustrated by applying to real software failure data

EVALUATION OF ANTICANCER ACTIVITY OF PARKINSONIA ACULEATA LEAVES EXTRACT ON EHRLICH'S ASCITES CARCINOMA-INDUCED MICE.

 Objective: The objective of the study was to investigate the anticancer activity of the ethanolic extract of Parkinsonia aculeata (EEPA) leaves. Methods: Anticancer activity of P. aculeata (EEPA) of leaf extract was evaluated in Swiss albino mice against Ehrlich ascites carcinoma (EAC) cell line at the doses of 200 and 400 mg/kg body weight orally. The extracts were administered for 14 consecutive days. 24 h of the last dose and 18 h of fasting, the mice were sacrificed, and the anticancer effect of EEPA was assessed by evaluating tumor volume, viable and nonviable tumor cell count, tumor weight, hematological parameters, and biochemical parameters of EAC bearing mice.Results: P. aculeata extracts showed a significant decrease in (p<0.01) tumor volume, viable cell count, tumor weight, and elevated the life span of EAC bearing mice. Hematological profile such as red blood cell, hemoglobin count reverted to normal level in EEPA treated mice. The extracts significantly (p<0.05) decreased the levels of lipid peroxidation and significantly (p<0.05) increased the levels of reduced glutathione, superoxide dismutase and catalase.Conclusion: The results showed that the EEPA was effective in inhibiting the tumor growth in ascitic models and that is comparable to 5-fluorouracil.Â