The results suggest that when a team is collecting metrics, it does not collect only one. For example the team who measured the “business value delivered” metric they also measured every other metric as well. Finally, the reported successful projects had small team sizes (10 or less), frequently measured customer satisfaction, had high code quality, performed retrospective after each iteration, had the whole team participating in the retrospective, had everybody participating in the retrospective, and collected metrics either manually or automatically. Significant Relationships between Different Variables Different types of analysis were conducted on different sets of data throughout the research. Some of the findings were statistically significant, and some were not. In this section, statistically significant relationships between different variables will be summarised. We will focus on the variables that have impact on quality, satisfaction and project success as this is the focus of this thesis. The factors that are related to quality, stakeholder satisfaction, and project success are presented in tables 9-1, 9-2, and 9-3 respectively along with their correlation coefficient values. The numbers 0.01 and 0.05 presents the probability at which the correlation was significant. Agile Project Adoption Adoption Governance Variables Survey 2006 Survey 2008 Survey 0.01 0.05 0.01 0.05 0.01 0.05 Productivity .68 .55 Satisfaction .66 .51 Cost -.06 -.26 Success .36 .31 Organisation experience .20 Quality Retrospective Impact .24 Frequency of customer .47 satisfaction measure Table 91 Variables which have a significant correlation with quality, and their correlation coefficients
The results suggest that when a team is collecting metrics, it does not collect only one. For example the team who measured the “business value delivered” metric they also measured every other metric as well. Finally, the reported successful projects had small team sizes (10 or less), frequently measured customer satisfaction, had high code quality, performed retrospective after each iteration, had the whole team participating in the retrospective, had everybody participating in the retrospective, and collected metrics either manually or automatically. Significant Relationships between Different Variables Different types of analysis were conducted on different sets of data throughout the research. Some of the findings were statistically significant, and some were not. In this section, statistically significant relationships between different variables will be summarised. We will focus on the variables that have impact on quality, satisfaction and project success as this is the focus of this thesis. The factors that are related to quality, stakeholder satisfaction, and project success are presented in tables 9-1, 9-2, and 9-3 respectively along with their correlation coefficient values. The numbers 0.01 and 0.05 presents the probability at which the correlation was significant. Variables Adoption Survey 2006 Adoption Survey 2008 Agile Project Governance Survey 0.01 0.05 0.01 0.05 0.01 0.05 Quality Productivity .68 .55 Satisfaction .66 .51 Cost -.06 -.26 Success .36 .31 Organisation experience .20 Retrospective Impact .24 Frequency of customer satisfaction measure .47 Table 91 Variables which have a significant correlation with quality, and their correlation coefficients
Abbas%20-%20Thesis%20-%202010.docx