Improved Method for Predicting Software Effort and Schedule

نویسندگان

  • Wilson Rosa
  • Cheryl Jones
  • John McGarry
  • Ray Madachy
  • Brad Clark
چکیده

This paper presents a set of effort and schedule estimating relationships for predicting software development projects using empirical data from 317 very recent US DoD programs. The first set predicts effort as a function of product size and application type. The second predicts the duration of software development as a function of product size and staffing levels. The estimating relationships are simpler and more viable to use for early estimates than traditional parametric cost models. Practical productivity benchmarks are also provided to guide cost analysts in normalizing and validating data. These methods are applicable to all industry sectors. General Terms Management, Measurement, Design, Economics

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تاریخ انتشار 2014