Quantitative JPL Software Estimation Models for Cost, Size, and Defect Prediction

摘要

Recently the Software Quality Improvement (SQI) Project has been formed to achieve and sustain excellence in software engineering at JPL to enable mission success. It will enable and promote software best practices, and leverage JPL experience in software engineering in support of major software projects, throughout the entire software life-cycle. The goal of the SQI Project is to establish an operational software improvement program that results in the continuous measurable improvement of software quality at JPL. Its objectives include improving cost and schedule predictability, improving the quality of mission-critical software, reducing software defect rates during testing and operations, increasing software development productivity, promoting software reuse, and reducing project start-up time. This presentation will focus on the results of SQI's Measurement and Benchmarking activities to develop quantitative cost, size, and defect estimation models based on the analysis of JPL data.