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Issues and Their Causes in WebAssembly Applications: An Empirical Study

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Published
  • Muhammad Waseem
  • Teerath Das
  • Aakash Ahmad
  • Peng Liang
  • Tommi Mikkonen
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Publication date18/06/2024
Host publicationProceedings of 2024 28th International Conference on Evaluation and Assessment in Software Engineering, EASE 2024
Place of PublicationNew York
PublisherThe Association for Computing Machinery
Pages170-180
Number of pages11
ISBN (electronic)9798400717017
<mark>Original language</mark>English
Event28th International Conference on Evaluation and Assessment in Software Engineering, EASE 2024 - Salerno, Italy
Duration: 18/06/202421/06/2024

Conference

Conference28th International Conference on Evaluation and Assessment in Software Engineering, EASE 2024
Country/TerritoryItaly
CitySalerno
Period18/06/2421/06/24

Publication series

NameACM International Conference Proceeding Series

Conference

Conference28th International Conference on Evaluation and Assessment in Software Engineering, EASE 2024
Country/TerritoryItaly
CitySalerno
Period18/06/2421/06/24

Abstract

WebAssembly (Wasm) is a binary instruction format designed for secure and efficient execution within sandboxed environments - predominantly web apps and browsers - to facilitate performance, security, and flexibility of web programming languages. In recent years, Wasm has gained significant attention from the academic research community and industrial development projects to engineer high-performance web applications. Despite the offered benefits, developers encounter a multitude of issues rooted in Wasm (e.g., faults, errors, failures) and are often unaware of their root causes that impact the development of web applications. To this end, we conducted an empirical study that mines and documents practitioners' knowledge expressed as 385 issues from 12 open-source Wasm projects deployed on GitHub and 354 question-answer posts via Stack Overflow. Overall, we identified 120 types of issues, which were categorized into 19 subcategories and 9 categories to create a taxonomical classification of issues encountered in Wasm-based applications. Furthermore, root cause analysis of the issues helped us identify 278 types of causes, which have been categorized into 29 subcategories and 10 categories as a taxonomy of causes. Our study led to first-of-its-kind taxonomies of the issues faced by developers and their underlying causes in Wasm-based applications. The issue-cause taxonomies - identified from GitHub and SO, offering empirically derived guidelines - can guide researchers and practitioners to design, develop, and refactor Wasm-based applications.