An Assessment of the Consistency for Software Measurement Methods

Title: An Assessment of the Consistency for Software Measurement Methods

Abstract: This research investigated the consistency of software measurement methods, aiming to improve reliability by reducing subjectivity. The study defined a homogeneous statistic for evaluating consistency and developed a statistical analysis to determine if a method is more consistent than another.

Main Research Question: Can the consistency of software measurement methods be improved by reducing subjectivity?

Methodology: The study used a statistical approach to assess the consistency of software measurement methods. It defined a homogeneous statistic to measure consistency and developed a statistical analysis to compare the consistency levels of different methods.

Results: The study found that the consistency of software measurement methods can be improved by reducing subjectivity. The homogeneous statistic provided a reliable measure of consistency, and the statistical analysis showed that the revised methods had higher consistency levels than the original methods.

Implications: The research has significant implications for the software development industry. It provides a practical method for evaluating the consistency of software measurement methods, which can lead to more accurate and reliable estimates of project costs and timelines. Additionally, the study suggests that revising software measurement methods to reduce subjectivity can improve their consistency and reliability.

In conclusion, this research has provided a practical method for evaluating the consistency of software measurement methods, which can lead to more accurate and reliable estimates of project costs and timelines. Additionally, the study suggests that revising software measurement methods to reduce subjectivity can improve their consistency and reliability.

Link to Article: https://arxiv.org/abs/0204014v1 Authors: arXiv ID: 0204014v1