This document summarizes a research paper that proposes the SPARROW (SPAtial ClusteRing AlgoRithm thrOugh SWarm Intelligence) algorithm for clustering software components. SPARROW is a multi-agent algorithm that uses principles from flocking behavior to identify clusters of components in parallel. It begins by randomly positioning agents within component data and identifying core points to label neighboring components. Agents then move according to flocking rules to explore the data space and continuously update component clusters. The algorithm is extended to multidimensional data and can optimize clustered test cases using other algorithms. The paper argues SPARROW provides an efficient way to cluster components early in development for component-based software architecture.