Poor quality data is a growing and costly problem that affects many enterprises across all aspects of their business ranging from operational efficiency to revenue protection. In this paper, we present an approach that efficiently and robustly discovers conditional functional dependencies for detecting inconsistencies in data and hence improves data quality. We evaluate our approach empirically...

Design diversity is a protection against design faults causing common-mode failure in redundant systems. Although we know that it is effective, we badly lack knowledge about how much reliability it will buy in practice, and thus its cost-effectiveness, in which cases it is an appropriate solution and how it should be taken into account by safety assessor and regulators. Both current practice an...

Several software reliability growth models have been presented in the literature in the last three decades. They have been developed for uniform and non-uniform operational profile. Some of them are flexible whereas others are not. Model selection becomes an uphill task. Of late, some authors have tried to develop a unifying approach so as to capture different growth curves, thus easing the mod...

In a fast and dynamic competitive environment it is not easy to survive and maintain a credit in market. It can be possible when user/customer trust on product quality and its performance. This can be possible when process is well defined because quality of product directly related to the quality of process. To develop a mature and effective process lot of resources is required, every organizat...