Towards Performance Measurement And Metrics Based Analysis of PLA Applications

TL;DR

This paper presents ZAC, a measurement-based approach for analyzing and visualizing the complexity of software product line applications, aiding practitioners in understanding their structure and metrics.

Contribution

The paper introduces ZAC, a novel tool that performs source code analysis, calculates metrics, and visualizes data for software product lines, demonstrating its effectiveness with real data.

Findings

ZAC effectively visualizes application complexity.

Strong positive correlation between traditional and product line metrics.

ZAC aids practitioners in understanding software structure.

Abstract

This article is about a measurement analysis based approach to help software practitioners in managing the additional level complexities and variabilities in software product line applications. The architecture of the proposed approach i.e. ZAC is designed and implemented to perform preprocessesed source code analysis, calculate traditional and product line metrics and visualize results in two and three dimensional diagrams. Experiments using real time data sets are performed which concluded with the results that the ZAC can be very helpful for the software practitioners in understanding the overall structure and complexity of product line applications. Moreover the obtained results prove strong positive correlation between calculated traditional and product line measures.