Table 6: Data extraction form.
# | Data Extraction Category | Description | Purpose |
Study General Description | |||
1 | Identifier | Identifier number (DOI) | |
2 | Date | Data extraction date | |
Study Description | |||
1 | Title | Title of study | |
2 | Author Name | Name of study authors | |
3 | Country | Country of study publication (first author) | |
4 | Publication Year | Publication year | |
5 | Type | Conference proceedings, Journal article | |
6 | Venue | Name of conference or Journal | |
7 | Author Affiliation(s) | Affiliation of author(s) (first author) | Study Content |
1 | Objectives | Objectives of study | |
2 | Method | Method to support objectives | RQ1 |
3 | Techniques | Clustering-discovery, Clustering-recommendation, Association rules-discovery, Association rules-recommendation, or Combined | RQ1 |
4 | Algorithm | Name of algorithm in study | RQ1 |
5 | Evaluation Metric | Name of evaluation metric | RQ1 |
6 | Metric Purpose | Evaluation metric purpose | RQ1 |
7 | Dataset | Name of dataset for validation | RQ2 |
8 | WS in Dataset | Number of WS in dataset | RQ2 |
9 | Senvs. Syn Dataset | Semantic or syntax datasets | RQ2 |
10 | Dataset Purpose | Recommendation or discovery | RQ2 |
11 | Future Direction | Future direction | RQ3 |
12 | Limitations | Restriction of the work | RQ3 |
13 | Challenges | What challenges in this study are associated with Web services discovery and recommendations? |