Lightweight Syntactic API Usage Analysis with UCov

• URL: http://arxiv.org/abs/2402.12024v1
• Date: Mon, 19 Feb 2024 10:33:41 GMT
• Title: Lightweight Syntactic API Usage Analysis with UCov
• Authors: Gustave Monce (LaBRI), Thomas Couturou (LaBRI), Yasmine Hamdaoui (LaBRI), Thomas Degueule (LaBRI), Jean-R\'emy Falleri (LaBRI, IUF)
• Abstract summary: We present a novel conceptual framework designed to assist library maintainers in understanding the interactions allowed by their APIs. These customizable models enable library maintainers to improve their design ahead of release, reducing friction during evolution. We implement these models for Java libraries in a new tool UCov and demonstrate its capabilities on three libraries exhibiting diverse styles of interaction.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Designing an effective API is essential for library developers as it is the lens through which clients will judge its usability and benefits, as well as the main friction point when the library evolves. Despite its importance, defining the boundaries of an API is a challenging task, mainly due to the diverse mechanisms provided by programming languages that have non-trivial interplays. In this paper, we present a novel conceptual framework designed to assist library maintainers in understanding the interactions allowed by their APIs via the use of syntactic usage models. These customizable models enable library maintainers to improve their design ahead of release, reducing friction during evolution. The complementary syntactic usage footprints and coverage scores, inferred from client code using the API (e.g., documentation samples, tests, third-party clients), enable developers to understand in-the-wild uses of their APIs and to reflect on the adequacy of their tests and documentation. We implement these models for Java libraries in a new tool UCov and demonstrate its capabilities on three libraries exhibiting diverse styles of interaction: jsoup, commons-cli, and spark. Our exploratory case study shows that UCov provides valuable information regarding API design and fine-grained analysis of client code to identify under-tested and under-documented library code.

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