Name Professor Course Date Software analytics in project development management Software development involves big chunks of data. Software engineering process from code repository, testing frameworks and bug fixing can be measured with effective automation and granularity. Throughout the life-cycle projects can be evaluated from specification to routine maintenance. Numerous research models and metrics have been proposed for readability, maintainability and other vital aspects of quality and healthy software development. However, software engineering continues to be highly risky and unpredictable. It is typical for the main development effort to encounter failures and delay. Globally, the world economy is influenced by defect software every year. Findings imply that there exists a disconnection between project managers making an appropriate decision and the accuracy of the information delivered by the existing tools. The intensive nature of software development implies that a firm ought to have robust software management that has practical analytic skills.
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