Comparing Tpc-W And Rubis Via Pca

We aim to understand the fundamental design correspondences between TPC-W and RUBiS, two benchmark applications modeled after the well-known E-commerce solutions Amazon and eBay, respectively. Furthermore, we investigate how these benchmarks reflect the design principles of real-world applications by comparing them against Qualitas Corpus, offering an effective domain context of curated Java software systems. To perform this study, we employ Principal Component Analysis (PCA) to distill the important information (i.e., the principal components) from a set of observations of possibly correlated variables (i.e., software metrics). The results of our analysis reveal that TPC-W and RUBiS are comprised of surprisingly dissimilar features that clearly show that TPC-W and RUBiS do not share too many design commonalities. Moreover, we demonstrate that PCA is a powerful tool to uncover key software quality attributes.