Software Project Planner (SPP) is NP-hard problem faced by project manager in software industry. SPP is the problem of employee and task scheduling which is important and challenging part of industry. It is NP-hard because there is increasing number of task and employee. For solving NP-hard problems only few algorithms are available but the output is not satisfactory. To solve SPP one meta-heuristic technique is used i.e. Ant Colony Optimization (ACO). ACO contains heuristic and pheromone values. Heuristic is calculated with the help of previous available solution, dependency of tasks, employee and efforts.