Summarizing Complex Development Artifacts by Mining Heterogeneous Data @ MSR 2015 - Short Paper, Florence, Italy

1. Luca Ponzanelli, Andrea Mocci, Michele Lanza
REVEAL @ Faculty of Informatics
University of Lugano
Summarizing Complex
Development Artifacts by Mining
Heterogeneous Data

2. ? ??

3. Web
Artifacts
Project
Artifacts
?
??

4. Information
Overload

5. Text
Summarization G. Erkan and D. R. Radev
LexRank: Graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research, vol. 22, 2004
S1 S3
S2S4
S5
LexRank
S4 ~ S2
S1 ~ S3
S1~S2
S1~S4
S5
~
S2

6. Text
Summarization G. Erkan and D. R. Radev
LexRank: Graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research, vol. 22, 2004
1.0 0.4
0.90.2
0.1
LexRank
S4 ~ S2
S1 ~ S3
S1~S2
S1~S4
S5
~
S2
Sentence Centrality

7. XML
TEXT
CODE

8. The information is
heterogeneous
and multidimensional
Heterogeneous
Information

9. Heterogeneous
Information
Information modeling
with Island Parsing

10. {…} Code Stack Trace
</
XML JS JSON
Text
Information
Units

11. {…} Code Stack Trace
</
XML
JS JSON
Text How to analyze
Information Units?
Information
Units

12. Information
Summarization
Replace textual similarity
with holistic similarity

13. {…}
Types
Invocations
Variable
Names
Natural
Language
Types
Natural
Language
Meta
Information

14. {…}
Types
Invocations
Variable
Names
Natural
Language
Types
Natural
Language
Meta
Information

15. Information
Summarization
V1,2 =⟨NL Sim., Type Sim.⟩

16. Preliminary
Evaluation
Stack Overflow
Discussions
Human
Rating
Gold
Standard

17. Preliminary
Evaluation

18. Our Approach vs LexRank
Preliminary
Evaluation

19. Our Approach vs LexRank
Meet us in the
Poster session
Preliminary
Evaluation