The goal of the study was to see if using a specific type of clustering algorithm could help improve the accuracy of estimating the effort needed for software development. The researchers used a method called agglomerative hierarchical clustering to group the data into clusters and then compared the estimated effort with and without clustering. They found that using this clustering method consistently led to better accuracy in effort estimation compared to not using clustering at all.