Replication Data for: Model-based test case generation and prioritization: A systematic literature review
DOI:10.7910/DVN/20VASV
| Main Authors: | , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Harvard Dataverse
2023
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| Subjects: | |
| Online Access: | http://openscience.utm.my/handle/123456789/311 |
| _version_ | 1796848844546244608 |
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| author | Mohd-Shafie Muhammad Luqman |
| author_facet | Mohd-Shafie Muhammad Luqman |
| author_sort | Mohd-Shafie |
| collection | OpenScience |
| description | DOI:10.7910/DVN/20VASV |
| first_indexed | 2024-03-05T17:33:43Z |
| format | Dataset |
| id | oai:openscience.utm.my:123456789/311 |
| institution | Universiti Teknologi Malaysia - OpenScience |
| language | English |
| last_indexed | 2024-03-05T17:33:43Z |
| publishDate | 2023 |
| publisher | Harvard Dataverse |
| record_format | dspace |
| spelling | oai:openscience.utm.my:123456789/3112023-04-26T11:00:16Z Replication Data for: Model-based test case generation and prioritization: A systematic literature review Mohd-Shafie Muhammad Luqman Computer and Information Science Model-based testing Test case prioritization Test case generation Systematic literature review DOI:10.7910/DVN/20VASV Context: Model-based test case generation (MB-TCG) and prioritization (MB-TCP) utilize models that represent the system under test (SUT) for test generation and prioritization in software testing. They are based on model-based testing (MBT), a technique that facilitates automation in testing. Automated testing is indispensable for testing complex and industrial size systems because of its advantages over manual testing. In recent years, MB-TCG and MB-TCP publications have shown an encouraging growth. However, the empirical studies done to validate these approaches must not be taken lightly because they reflect the validity of the results, and whether these approaches are generalizable to the industrial context. Objective: This systematic review aims at identifying and reviewing the state-of-the-art for MB-TCG, MB-TCP, and the approaches that combined MB-TCG and MB-TCP. Method: The needs for this review were used to design the research questions. Keywords extracted from the research questions were utilized to search for studies in the literature that will answer the research questions. Prospective studies also underwent a quality assessment to ensure that only studies with sufficient quality were selected. All the research data of this review were also available in a public repository for full transparency. Result: 80 primary studies were finalized and selected. There were 64, 11 and five studies proposed for MB-TCG, MB-TCP, and MB-TCG and MB-TCP combination approaches, respectively. Conclusion: One of the main findings is that the most common limitations in the existing approaches are dependency on specifications, need for manual interventions, and scalability issue. Universiti Teknologi Malaysia 2023-04-26T02:52:06Z 2023-04-26T02:52:06Z 2020 Dataset http://openscience.utm.my/handle/123456789/311 en application/vnd.openxmlformats-officedocument.spreadsheetml.sheet text/plain application/vnd.openxmlformats-officedocument.spreadsheetml.sheet text/plain Harvard Dataverse |
| spellingShingle | Computer and Information Science Model-based testing Test case prioritization Test case generation Systematic literature review Mohd-Shafie Muhammad Luqman Replication Data for: Model-based test case generation and prioritization: A systematic literature review |
| title | Replication Data for: Model-based test case generation and prioritization: A systematic literature review |
| title_full | Replication Data for: Model-based test case generation and prioritization: A systematic literature review |
| title_fullStr | Replication Data for: Model-based test case generation and prioritization: A systematic literature review |
| title_full_unstemmed | Replication Data for: Model-based test case generation and prioritization: A systematic literature review |
| title_short | Replication Data for: Model-based test case generation and prioritization: A systematic literature review |
| title_sort | replication data for model based test case generation and prioritization a systematic literature review |
| topic | Computer and Information Science Model-based testing Test case prioritization Test case generation Systematic literature review |
| url | http://openscience.utm.my/handle/123456789/311 |
| work_keys_str_mv | AT mohdshafie replicationdataformodelbasedtestcasegenerationandprioritizationasystematicliteraturereview AT muhammadluqman replicationdataformodelbasedtestcasegenerationandprioritizationasystematicliteraturereview |