Using Binary Strings for Comparing Products from Software-intensive Systems Product Lines
Author:
Affiliation:
1. Department of Computing, Glasgow Caledonian University, 70 Cowcaddens Road, Glasgow, G4 0BA, U.K., --- Select a Country ---
2. Institute for Computer Technology, TU Wien, Gußhausstr. 27-29, A-1040, Vienna, Austria, --- Select a Country ---
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Comparing Products using Similarity Matching;28th ACM International Systems and Software Product Line Conference;2024-09-02
2. Determining the Relative Importance of Features for Influencing Software Product Similarity Matching;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06
3. On Measuring the Dissimilarity between Biological Sequences;2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC);2022-09
4. Enhancing Product Comparison through Automated Similarity Matching;The International Conference on Evaluation and Assessment in Software Engineering 2022;2022-06-13
5. Reuse for mass personalisation through feature models and similarities;Proceedings of the 25th ACM International Systems and Software Product Line Conference - Volume A;2021-09-06
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