1. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 1 Identifying Domain Expertise of Developers from Source Code Presenter : Wu, Jia-Hao Authors : Renuka Sindhgatta KDD (2008)

2. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 22 Outline Motivation Objective Methodology Experiments Conclusion Personal Comments

3. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 3 Motivation Software engineering and project need the expert to design program.  If we do the method well, we will save much develop time and resource. Identifying domain expertise from source code is useful for us to develop the system.  Because we can know the information from the source code and arrange that task for programmer.

4. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 4 Objective Identifying developer expertise based on the domain and technical know-how can be a very useful input for allocating projects or tasks. Through the concepts we can define the domain expertise of a developer. The author adrian has primarily worked Message queues, the container and the server implementation.

5. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 5 Methodology SQLQuery.java UpdateRecord.java strSQLJDBCSelectquery… SQLQuery.java 2123… UpdateRecord.java 1142… … …………… Concepts Database persistence and JDBC Resulted in reasonably balanced clusters … Extract concepts clusterpreprocess Extract logs process d1 d2

6. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 6 Experiments Case Studies  JBoss Application server  Focuses on identifying the key concepts.  Lucene Search Engine Library  The concept dispersion across the developers and time line of expertise gained.

7. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 7 Experiments JBoss Application server  The number of cluster is set to 25 The author scott.stark has primarily worked JDBC, JMS, JMX.

8. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 8 Experiments (Cont.) Lucene Search Engine  The number of clusters is set to 5.

9. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 9 Experiments (Cont.) Evaluation of Extracted Concepts Precision : the degree of accuracy and any errors in the returned concepts. Recall : the degree of completeness and any errors by reason of missing concepts.

10. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 10 Experiments (Cont.) Use of Developer Expertise in Project Task Allocation  A project for allocating tasks using the domain expertise of a developer.

11. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 11 Conclusion Concept dispersion helps in identifying the distribution of knowledge of concepts the developer has gained. Identifying the suitability of a developer for a given development task.

12. Intelligent Database Systems Lab N.Y.U.S.T. I. M. 12 Comments Advantage  The sentence is easy to know the meaning. Drawback  … Application  Knowledge mining with source code.