Title: The Effects of a warm-up on the performance of football players Objectives: The comparison of influence of two types of warm-up before and after a physical activity on performance of U19 football players. Testing of subsequent post-warm-up performance focused on acceleration, explosive power and agility. Methods: In this empirical-theoretical thesis, a total of twenty-four U19 football players, divided in two experimental groups, is tested. The players within each group undertook either a complete dynamic warm-up or a shorter warm-up without the dynamic component. The performance was tested after the warm-up utilizing four tests - an acceleration run test on 30 m, a standing long jump, a foul throw and a shuttle run. The same tests were conducted again after an interlaid physical activity. The same procedure was repeated after a week when the two groups swapped the warm-up methods. Statistical analyses were employed to evaluate the results. Results: The hypothesis 1, assuming a positive effect of a complete dynamic warm-up on the performance before the physical activity was on one hand supported in the acceleration run on 30 m and the foul throw. On the other hand, no distinctive advantage of a complete dynamic warm-up was observed for the standing long jump and the shuttle run. Hypothesis 2...

Software test automation is widely accepted as an efficient software testing technique. However, automation has failed to deliver the expected productivity more often than not. The goal of this research was to find out the reason for these failures by collecting and understanding the metrics that affect software test automation and provide recommendations on how to successfully adopt automation with a positive return on investment (ROI). The metrics of concern were schedule, cost and effectiveness. The research employed an experimental study where subjects worked on individual manual and automated testing projects. The data collected were cross verified and supplemented with additional data from a feedback survey at the end of the experiment. The results of this study suggest that automation involves a heavy initial investment in terms of schedule and cost, which needs to be amortized over subsequent test cycles or even subsequent test projects.