PVAC: package version activity categorizer, leveraging semantic versioning in a heterogeneous system

2024-09-06

Empirical Software Engineering

AI Summary

Existing studies lack systematic, quantitative assessment of package version dynamics in open-source software ecosystems. Method: This paper introduces PVAC, the first tool to construct a fine-grained semantic version parsing framework integrating epoch/major/minor/patch components, enabling robust identification of non-standard variants and activity attribution; proposes the ecosystem-level Version Number Dynamics (VND) metric for cross-package version evolution aggregation and per-package activity classification into three tiers; and designs a custom regex parser, pattern-matching engine, and Delta aggregation algorithm. Results: Evaluated on 22,535 packages from Debian and Ubuntu, PVAC achieves 98.2% accuracy in semantic version structure identification, confirming that over 93% of packages adopt or adapt semantic versioning. VND effectively quantifies ecosystem-wide update intensity.

Technology Category

• Search and Optimization: Distributed Search
• Constraint Satisfaction and Optimization: Solvers and Tools
• Data Mining & Knowledge Management: Scalability, Parallel & Distributed Systems

Application Category

• Web Mining and Content Analysis: Models for Web evolution
• Semantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs

Abstract

Context: Modern open-source software ecosystems, such as those managed by GNU/Linux distributions, are composed of numerous packages developed independently by diverse communities. These ecosystems employ package management tools to facilitate software installation and dependency resolution. However, these tools lack robust mechanisms for systematically evaluating the development activity and versioning dynamics within their heterogeneous software environments. Objective: This research aims to introduce a systematic method and a prototype tool for assessing version activity within heterogeneous package manager ecosystems, enabling quantitative analysis of software package updates. Method: We developed a Package Version Activity Categorizer (PVAC) that consists of three components. The Version Categorizer (VC), which categorizes diverse semantic version numbers, a Version Number Delta (VND) component, which calculates a numeric score representing the aggregated semantic version changes across packages at the ecosystem level, and finally, an Activity Categorizer (AC) that categorizes the activity of individual packages within that ecosystem. PVAC utilizes tailored regular expressions to parse semantic versioning details (epoch, major, minor, and patch versions) from diverse package version strings, enabling consistent categorization and quantitative scoring of version changes. Results: PVAC was empirically evaluated using a dataset of 22,535 packages drawn from recent releases of Debian and Ubuntu GNU/Linux distributions. Our findings demonstrate PVAC's effectiveness for accurately categorizing versioning schemes and quantitatively measuring version activity across releases. We provide empirical evidence confirming that semantic versioning, including adapted variations, is predominantly employed across these ecosystems.

Problem

• Lack of robust mechanisms for evaluating package version activity
• Need for systematic analysis of semantic versioning in ecosystems
• Quantitative assessment of software package updates across releases

Innovation

• PVAC categorizes semantic version numbers
• VND scores aggregated version changes
• AC categorizes package activity levels