In slow paced software delivery teams, where releases happen infrequently, endless cycles of wide ranging rigorous manual regression testing often slow delivery down even more.
(4) Regression Testing: For larger projects, regular regression testing must be performed to maintain the integrity of the design and coherence of the different design representations over the entire duration of the project.
Our choice excludes regression testing techniques and includes the ones that may be applied to system level models represented as activity diagrams and/or as labeled transition systems.
This chapter presents the current status and the trends of three regression testing techniques and discusses recent advances of each technique.
These changes can affect a system adversely, thus software engineers perform regression testing to ensure the quality of the modified systems.
f P-values from logistic regression, testing the risk effect compared to reference haplotype 23del-12ins.
Results of linear regression testing for trend over income categories were also significant (p = 0.01).
e P-values from logistic regression, testing the risk effect compared to reference haplotype 23ins-12ins.
Data selected after univariate analysis was then subjected to multivariate analysis using logistic regression testing.
The associations between potential explanatory factors and the outcome of exposure were analysed with logistic regression, testing for interactions when appropriate.
Probability of treatment success (viral RNA <50 copies/ml) was modeled using generalized additive logistic regression, testing exposure, clinical, and virologic variables.
