Software Quality Assessment Modeling for Agile Development  
Author Shigeru Yamada


Co-Author(s) Ryosuke Kii


Abstract In recent years, many development paradigms have been proposed for successful software projects. Most of them are very useful for conventional software development. On the other hand, an agile software development method has been gaining attention for small-size software development because of prompt delivery and cost saving. In the agile software development, reliability/quality is actually assessed based on empirical and tacit knowledge of managers or project leaders. in this paper, we propose quantitative assessment methods for the reliability/quality of software products developed by the agile software development. Then, applying several metrics for agile software development to plausible software reliability growth models, multiple regression analysis, and control chart, we discuss the goodness-of-fit of these models to actual data and quantitative software reliability/quality assessment.


Keywords Agile Software Development, Software Metrics, Mean Square Error (MSE), Akaike's Information Criterion (AIC), Software Reliability Growth Model (SRGM), Multiple Regression Analysis, Control Chart
    Article #:  21198
Proceedings of the 21st ISSAT International Conference on Reliability and Quality in Design
August 6-8, 2015 - Philadelphia, Pennsylvia, U.S.A.