Textual Analysis for Code Smell Detection
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The document discusses textual analysis as a method for detecting code smells, particularly focusing on the issue of long methods. It presents a case study using tools like TACO to identify long methods in software projects, demonstrating its effectiveness compared to traditional approaches. The findings suggest that TACO is a valuable complementary tool for enhancing code maintainability and organization.
![C O D E S M E L L S A R E
S Y M P T O M S O F P O O R
D E S I G N O R
I M P L E M E N TAT I O N C H O I S E S
Code Smell
[Martin Fowler]](https://image.slidesharecdn.com/icse15-src-150402151410-conversion-gate01/85/Textual-Analysis-for-Code-Smell-Detection-2-320.jpg)
![T H E C A S E O F L O N G M E T H O D D E T E C T I O N
TACO - Textual Analysis for Code Smell Detection
“A Long Method as a method in which there is the implementation
of a main functionality together with auxiliary functions that should
be managed in different methods.”
[Martin Fowler]](https://image.slidesharecdn.com/icse15-src-150402151410-conversion-gate01/85/Textual-Analysis-for-Code-Smell-Detection-6-320.jpg)
![TACO - Textual Analysis for Code Smell Detection
Apache Cassandra
Apache Xerces
Eclipse Core
Precision
Recall
F-Measure
Compared with
DECOR approach
[Moha et al.]
T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y](https://image.slidesharecdn.com/icse15-src-150402151410-conversion-gate01/85/Textual-Analysis-for-Code-Smell-Detection-14-320.jpg)
![TACO - Textual Analysis for Code Smell Detection
Apache Cassandra
Apache Xerces
Eclipse Core
Precision
Recall
F-Measure
Compared with
DECOR approach
[Moha et al.]
T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y
63%
51%
DECOR
TACO
OVERALL F-MEASURE
OVERALL F-MEASURE](https://image.slidesharecdn.com/icse15-src-150402151410-conversion-gate01/85/Textual-Analysis-for-Code-Smell-Detection-15-320.jpg)
![TACO - Textual Analysis for Code Smell Detection
Apache Cassandra
Apache Xerces
Eclipse Core
Precision
Recall
F-Measure
Compared with
DECOR approach
[Moha et al.]
TACO is highly complementary with
respect to DECOR on 2 systems analyzed
T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y
63%
51%
DECOR
TACO
OVERALL F-MEASURE
OVERALL F-MEASURE](https://image.slidesharecdn.com/icse15-src-150402151410-conversion-gate01/85/Textual-Analysis-for-Code-Smell-Detection-16-320.jpg)
Textual Analysis for Code Smell Detection
- 1. Textual Analysis for Code Smell Detection FA B I O PA L O M B A , U N I V E R S I T Y O F S A L E R N O D I B T. U N I M O L . I T / F PA L O M B A I C S E 2 0 1 5 S R C M AY 2 2 , 2 0 1 5 F L O R E N C E , I TA LY
- 2. C O D E S M E L L S A R E S Y M P T O M S O F P O O R D E S I G N O R I M P L E M E N TAT I O N C H O I S E S Code Smell [Martin Fowler]
- 3. C O D E S M E L L S A R E M O R E C H A N G E - A N D FA U LT- P R O N E N E S S C O D E S M E L L S I N C R E A S E S M A I N T E N A N C E C O S T S Khomh et. al - EMSE 2012 Banker et. al - Communications of the ACM 1993 C O D E S M E L L S H I N D E R C O M P R E H E N S I B I L I T Y Abbes et. al - CSMR 2011
- 4. S E V E R A L A P P ROAC H E S H AV E B E E N P RO P O S E D, E X P L O I T I N G D I F F E R E N T K I N D O F I N F O R M AT I O N S T R U C T U R A L I N F O R M AT I O N H I S T O R I C A L A N A LY S I S
- 5. I S I T P O S S I B L E T O D E T E C T S M E L L S U S I N G C O N C E P T U A L I N F O R M AT I O N ?The Third Dimension
- 6. T H E C A S E O F L O N G M E T H O D D E T E C T I O N TACO - Textual Analysis for Code Smell Detection “A Long Method as a method in which there is the implementation of a main functionality together with auxiliary functions that should be managed in different methods.” [Martin Fowler]
- 7. TACO - Textual Analysis for Code Smell Detection T H E C A S E O F L O N G M E T H O D D E T E C T I O N method mi
- 8. method mi method blocks extract blocks T H E C A S E O F L O N G M E T H O D D E T E C T I O N TACO - Textual Analysis for Code Smell Detection
- 9. method blocks pruned method blocks extract identifiers extract comments extract blocks T H E C A S E O F L O N G M E T H O D D E T E C T I O N TACO - Textual Analysis for Code Smell Detection method mi
- 10. similarity matrix method blocks pruned method blocks compute similarity extract identifiers extract comments extract blocks T H E C A S E O F L O N G M E T H O D D E T E C T I O N TACO - Textual Analysis for Code Smell Detection method mi
- 11. similarity matrix method blocks pruned method blocks compute similarity extract identifiers extract comments I F E X I S T B L O C K S W I T H S I M I L A R I T Y < T H E N A L O N G M E T H O D I S D E T E C T E D extract blocks t T H E C A S E O F L O N G M E T H O D D E T E C T I O N TACO - Textual Analysis for Code Smell Detection method m
- 12. T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y TACO - Textual Analysis for Code Smell Detection Apache Cassandra Apache Xerces Eclipse Core
- 13. TACO - Textual Analysis for Code Smell Detection Apache Cassandra Apache Xerces Eclipse Core Precision Recall F-Measure T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y
- 14. TACO - Textual Analysis for Code Smell Detection Apache Cassandra Apache Xerces Eclipse Core Precision Recall F-Measure Compared with DECOR approach [Moha et al.] T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y
- 15. TACO - Textual Analysis for Code Smell Detection Apache Cassandra Apache Xerces Eclipse Core Precision Recall F-Measure Compared with DECOR approach [Moha et al.] T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y 63% 51% DECOR TACO OVERALL F-MEASURE OVERALL F-MEASURE
- 16. TACO - Textual Analysis for Code Smell Detection Apache Cassandra Apache Xerces Eclipse Core Precision Recall F-Measure Compared with DECOR approach [Moha et al.] TACO is highly complementary with respect to DECOR on 2 systems analyzed T H E C A S E O F L O N G M E T H O D D E T E C T I O N - C A S E S T U D Y 63% 51% DECOR TACO OVERALL F-MEASURE OVERALL F-MEASURE
- 17. A P R AT I C A L E X A M P L E TACO - Textual Analysis for Code Smell Detection Method: findTypesAndPackages() Goal: Discover the classes and the packages of a given project Class: CompletionEngine - Eclipse Core
- 18. TACO - Textual Analysis for Code Smell Detection Method: findTypesAndPackages() Goal: Discover the classes and the packages of a given project This method has 65 lines of code Class: CompletionEngine - Eclipse Core A P R AT I C A L E X A M P L E
- 19. TACO - Textual Analysis for Code Smell Detection Method: findTypesAndPackages() Goal: Discover the classes and the packages of a given project This method has 65 lines of code A S TAT I C A P P R O A C H C A N N O T D E T E C T A L O N G M E T H O D Class: CompletionEngine - Eclipse Core A P R AT I C A L E X A M P L E
- 20. TACO - Textual Analysis for Code Smell Detection Class: CompletionEngine - Eclipse Core Method: findTypesAndPackages() Goal: Discover the classes and the packages of a given project This method has 65 lines of code A S TAT I C A P P R O A C H C A N N O T D E T E C T A L O N G M E T H O D But the method manages more than one responsibility I T A C T U A L LY I S A L O N G M E T H O D ! A P R AT I C A L E X A M P L E
- 21. I S I T P O S S I B L E T O D E T E C T S M E L L S U S I N G C O N C E P T U A L I N F O R M AT I O N !The Third Dimension YES, IT IS
- 22. S U M M A R I Z I N G TACO - Textual Analysis for Code Smell Detection Textual Analysis is useful for smell detection
- 23. Textual Analysis is useful for smell detection Is TACO suitable for detectingother smells? TACO - Textual Analysis for Code Smell Detection What about a hybrid technique for detecting smells? C O M I N G S O O N …
- 24. Textual Analysis for Code Smell Detection FA B I O PA L O M B A , U N I V E R S I T Y O F S A L E R N O D I B T. U N I M O L . I T / F PA L O M B A I C S E 2 0 1 5 S R C M AY 2 2 , 2 0 1 5 F L O R E N C E , I TA LY