The dataset for smart contract maintenance issues.

List_All_Papers.xlsx: This file contains all the papers selected from five search engines, i.e., ACM Digital Library, IEEE Xplore Digital Library, Springer Online Library, Elsevier Science Direct, and Google Scholar and 19 papers selected by snowballing. The source of the papers selected through snowballing are related paper titles. Two researchers identify whether a paper is valuable to find something related to smart contract maintenance, and their results can be found at P1-Result and P2-Result, respectively. If there are some differences, they discussed to find a final result.

Result_Open_Card_Sorting.xlsx: This file records the process of finding maintenance-related issues from the selected 131 papers. The two researchers first read the papers and were required to collect the data related to: , (1). What are the challenges / issues of smart contract maintenance? (2). What are the used maintenance methods? If we cannot find any answers from a paper, the paper is omitted from our list. The answers are recorded in the second (Answer to RQ1) and third (Answer to RQ2) column. After that, the Answer to RQ1 was first summarized into detailed maintenance issues (See the column "Level 1-RQ1"). Then, the detailed maintenance issues were clustered according to their maintenance types, e.g., corrective, adaptive, perfective maintenance (See the column "Level 2-RQ1"). For the Answer to RQ2, they were first grouped according to the technique they used, e.g., programming analysis or fuzzing(See the column "Level 1-RQ2"). After that, they will be clustered into a higher level according to their checking types, e.g., off-line / on-line checking(See the column "Level 2-RQ2").

PaperList.txt: This file contains the information of selected 131 papers.

Survey-English.pdf and survey-Chinese.pdf are the survey of English and Chinese versions, respectively. Survey-EN-Raw-Data.xlsx and Survey-CN-Raw-Data.xlsx are the related raw data of the survey.