Step 1 :(a) The null hypothesis $H_{0}$ is that the mean number of hours worked per week by software developers, $\mu$, is 44. The alternative hypothesis $H_{1}$ is that the mean number of hours worked per week by software developers, $\mu$, is not 44.
Step 2 :(b) If we decide to reject the null hypothesis, we might be making a Type I error.
Step 3 :(c) If the true mean number of hours worked by software developers is 44 hours, a Type I error would be rejecting the hypothesis that $\mu$ is equal to 44 when, in fact, $\mu$ is 44.