Dataset for the Paper: Issues and Their Causes in WebAssembly Applications: An Empirical Study

This dataset accompanies the paper titled 'Issues and Their Causes in WebAssembly Applications: An Empirical Study.' The dataset is stored in a Microsoft Excel file, which comprises multiple worksheets. A brief description of each worksheet is provided below.

(1) The 'Selected Systems' worksheet contains information on the 12 chosen open-source WebAssembly applications, along with the URL for each application.

(2) The 'GitHub-Raw Data' worksheet contains information on the initially retrieved 6,667 issues, including the titles, links, and statuses of each individual issue discussion.

(3) The 'SOF-Raw Data' worksheet contains information on the initially retrieved 6,667 questions and answers, including the details of each question and answer, respective links, and associated tags.

(4) The 'GitHubData Random Selected' worksheet contains a list of issues randomly selected from the initial pool of 6,667 issues, as well as extracted data from the discussions associated with these randomly selected issues.

(5) The 'GitHub-(Issues, Causes)' worksheet contains the initial codes categorizing the types of issues and causes.

(6) The 'SOF (Issues, Causes)' worksheet contains information gleaned from a randomly selected subset of 354 Stack Overflow posts. This information includes the title and body of each question, the associated link, tags, as well as key points for types of issues and causes.

(7) The 'Combine (Git and SOF) Data' worksheet contains the compiled issues and causes extracted from both GitHub and Stack Overflow.

(8) The 'Issue Taxonomy' worksheet contains a comprehensive issue taxonomy, which is organized into 9 categories, 20 subcategories, and 120 specific types of issues.

(9) The 'Cause Taxonomy' worksheet contains a comprehensive cause taxonomy, which is organized into 10 categories, 35 subcategories, and 278 specific types of causes.