Statistical analysis of defect removal effectiveness to improve the software quality and reducing the estimated cost

Software companies need to reduce their estimated cost for surviving the business world. Now the present scenario software industries faces with greater competitive pressures and skyrocketing costs of software breakdown, to push high quality software within their limits to achieve new heights. Software quality and reducing the estimated cost, in this approach method for finding the solution of parameters in linear regression models with cost estimating method. It describes the approach of software and cost analysis with historical project data. In this methodology, Software quality model can make timely predictions of reliability indications; it´s enabling to improve software development processes by target reducing the estimated cost for software products and improve the techniques for more effectively and efficiently.