  Crowdsourcing is becoming an accepted method of software development for
different phases in the production lifecycle. Ideally, mass parallel production
through Crowdsourcing could be an option for rapid acquisition in software
engineering by leveraging infinite worker resource on the internet. It is
important to understand the patterns and strategies of decomposing and
uploading parallel tasks to maintain a stable worker supply as well as a
satisfactory task completion rate.
  This research report is an empirical analysis of the available tasks'
lifecycle patterns in crowdsourcing. Following the waterfall model in
Crowdsourced Software Development (CSD), this research identified four patterns
for the sequence of task arrival per project: 1) Prior Cycle, 2) Current Cycle,
3) Orbit Cycle, and 4) Fresh Cycle.
