Abstract:The Software architecture is generated by using the interfaces and structural components of the software systems in an organization. Software architecture, along with the structure and behavior, also concerned with functionality, performance, reuse, economic and technological constraints etc. In software its components are related to one another in large variety of ways. The main intension of our research is to build the component based software architecture with adaptive configurations using Particle Swarm Optimization and clustering techniques. Building architecture is an inspiring progression. In this paper, we will propose Hybrid Particle Swarm Optimization (PSO) -Cuckoo Search (CS) algorithm for developing an adaptive software architecture based on the Process control model. Initially, the components are selected based on testcases generated. After that, adaptive architecture will be built by using PSO -CS on the basis of clustering results. The architecture is built along with its functional requirements, responsibility and evaluation. The functional requirements are given as graphs of functional responsibilities where modifiability, efficiency and traceability are considered as the quality attributes. The proposed method produced solution with increased quality and better metric values.