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Reasoning Algorithms on Feature Modeling—A Systematic Mapping Study
| Content Provider | MDPI |
|---|---|
| Author | Samuel, Sepúlveda Cravero, Ania |
| Copyright Year | 2022 |
| Description | Context: Software product lines (SPLs) have reached a considerable level of adoption in the software industry. The most commonly used models for managing the variability of SPLs are feature models (FMs). The analysis of FMs is an error-prone, tedious task, and it is not feasible to accomplish this task manually with large-scale FMs. In recent years, much effort has been devoted to developing reasoning algorithms for FMs. Aim: To synthesize the evidence on the use of reasoning algorithms for feature modeling. Method: We conducted a systematic mapping study, including six research questions. This study included 66 papers published from 2010 to 2020. Results: We found that most algorithms were used in the domain stage (70%). The most commonly used technologies were transformations (18%). As for the origins of the proposals, they were mainly rooted in academia (76%). The FODA model continued to be the most frequently used representation for feature modeling (70%). A large majority of the papers presented some empirical validation process (90%). Conclusion: We were able to respond to the RQs. The FODA model is consolidated as a reference within SPLs to manage variability. Responses to RQ2 and RQ6 require further review. |
| Starting Page | 5563 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app12115563 |
| Journal | Applied Sciences |
| Issue Number | 11 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-05-30 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Software Engineering Reasoning Algorithms Automated Analysis Feature Modeling Software Product Lines Systematic Mapping |
| Content Type | Text |
| Resource Type | Article |
