Cellular self-assembly and organization are fundamental steps for the development of biological tissues. Within the framework of a cellular automata model, we address how an ordered tissue pattern spontaneously emerges from a randomly migrating single cell population without the influence of any external cues. The simulations also capture several dynamical properties of growing aggregates, such as, the rate of cell aggregation and non-monotonic growth of the aggregate area which show a good agreement with the existing experimental observations. We further investigate the ruggedness of the growing structures by evaluating the fractal dimension to get insights into the complexity of tumorous tissue growth which were hitherto unexplored. Efficient process of collective migration of cells can be dictated by incorporating different factors like mechanical, chemical and physical contact interaction present in the environment of cells for tissue development. Our work exploits the mathematical features of different kind of interacting forces and focuses on the contribution of these factors to the large scale organization.