Drawing on institutional theory and entrepreneurial cognition, we test the environmental perception-scanning framework in the United States and India. The results suggest that culture and transition context help explain scanning frequency, but entrepreneurs in the two countries are similar in their perceptions of strategic uncertainty in environmental sectors. Moreover, the perceptions of increased environmental change and sector importance, as conditioned by perceived information accessibility, are associated with increased scanning. Overall, our results provide important indications about perceptions and information seeking, and lend support to indications of a universal mindset of entrepreneurship.

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Software reliability is an essential part of software engineering to ensure the quality of a system. There are various techniques, which can be used in building models for predicting quality attributes. This paper presents a Fuzzy model for software reliability prediction. We have proposed three parameters Availability, Failure Probability and Recoverability as an integrated measure of software reliability. Fuzzy Model provides a way to arrive at a discrete Reliability Non-functional requirement (NFR) in contrast to imprecise, vague and ambiguous. This model will help us to evolve intermediate stages between reliable state and unreliable state of a system. Results obtained by proposed model show that this is suitable for predicting software reliability of the software.