التفاصيل البيبلوغرافية
| العنوان: |
Using Semantic Networks and Context in Search for Relevant Software Engineering Artifacts. |
| المؤلفون: |
Karabatis, George, Chen, Zhiyuan, Janeja, Vandana P., Lobo, Tania, Advani, Monish, Lindvall, Mikael, Feldmann, Raimund L. |
| المصدر: |
Journal on Data Semantics Xiv; 2009, p74-104, 31p |
| مستخلص: |
The discovery of relevant software artifacts can increase software reuse and reduce the cost of software development and maintenance. Furthermore, change requests, which are a leading cause of project failures, can be better classified and handled when all relevant artifacts are available to the decision makers. However, traditional full-text and similarity search techniques often fail to provide the full set of relevant documents because they do not take into consideration existing relationships between software artifacts. We propose a metadata approach with semantic networks which convey such relationships. Our approach reveals additional relevant artifacts that the user might have not been aware of. We also apply contextual information to filter out results unrelated to the user contexts, thus, improving the precision of the search results. Experimental results show that the combination of semantic networks and context significantly improve the precision and recall of the search results. [ABSTRACT FROM AUTHOR] |
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Copyright of Journal on Data Semantics Xiv is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
