This is the dataset for the paper: Understanding the Issues, Their Causes and Solutions in Microservices Systems: An Empirical Study. The dataset is recorded in an MS Excel file which contains the following Excel sheets, and the description of each sheet is briefly presented below. (1) Selected Systems contains the 15 selected open-source microservices systems with the color code and URL of each system. (2) Raw Data contains the information of initially retrieved 10,222 issues, including issue titles, issue links, issue open date, issue closed date, and the number of participants in each issue discussion. (3) Screened Issues contains the issues that meet the initial selection criteria (i.e., 5,115 issues) and the issues that do not meet the initial selection criteria (i.e., 5,107 issues). (4) Selected Issues (Round 1) contains the list of 5,115 issues that meet the initial selection criteria. (5) Selected Issues (Round 2) contains the issues related to RQs (i.e., 2,641 issues) and the issues not related to RQs (i.e., 2,474 issues). (6) Selected Issues contains the list of selected 2,641 issues, which were used to answer the RQs. (7) Initial Codes contains the initial codes for identifying the types of issues, causes, and solutions. We used these codes to further generate the subcategories and categories of issues, causes, and solutions. (8) Interview Results contains the results of interviews that we conducted to confirm and improve the developed taxonomies of issues, causes, and solutions. (9) Issue Taxonomy contains the detailed issue taxonomy consisting of 19 categories, 54 subcategories, and 402 types of issues. (10) Cause Taxonomy contains the detailed cause taxonomy consisting of 8 categories, 26 subcategories, and 228 types of causes. (11) Solution Taxonomy contains the detailed solution taxonomy consisting of 8 categories, 32 subcategories, and 177 types of solutions. (12) Survey Questionnaire contains the survey questions we asked from microservices practitioners through a Web-based survey to validate our taxonomies of issues, causes, and solutions.

2023