an approach to measure java code quality in reuse environment author: aline timteo professor: silvio...
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An Approach to Measure Java Code An Approach to Measure Java Code Quality in Reuse EnvironmentQuality in Reuse Environment
Author: Aline TimóteoAuthor: Aline TimóteoProfessor: Silvio MeiraProfessor: Silvio Meira
UFPE – Federal University of PernambucoUFPE – Federal University of [email protected]@gmail.com
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SummarySummary Motivation Background
Metrics An Approach to Measure Java Code Quality Main Contributions
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MotivationMotivation
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MotivationMotivation Reuse environment [Frakes, 1994]
Process Components Certification Metrics Tools
Repository Search engine Domain tools …
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MotivationMotivation Component Repository promote reuse success
[Griss, 1994]
Some Repository Requirements Search Component publishing Component manage IDE Integration Component Indexing Security …
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ProblemProblem Artifacts quality must be assured by the organization
that maintains a repository? [Seacord, 1999]
Many version of a component on the repository
Lack of context
In other words…
How to minimize reuse to low-quality artifacts ?
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BackgroundBackground
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MetricsMetrics “Software metrics is a method to quantify attributes
in software processes, products and projects” [Daskalantonakis, 1992]
Metrics Timeline
Age 1: before 1991, where the main focus was on metrics based on the code complexity
Age 2: after 1992, where the main focus was on metrics based on the concepts of Object Oriented (OO) systems
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Age 1: Complexity Age 2: Object Oriented
Most Referenced MetricsMost Referenced Metrics LOC
Cyclomatic Complexity [McCabe, 1976]
Chidamber and Kemerer Metrics [Chidamber, 1994]
Lorenz and Kidd Metrics [Lorenz, 1994]
MOOD Metrics [Brito, 1994]
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Problems related to Metrics Problems related to Metrics [Ince, 1988 and Briand, 2002][Ince, 1988 and Briand, 2002] Metrics Validation
Theoretical Validation Measurement goal Experimental hypothesis Environment or context
Empirical validation
Metrics Automation Different set of metrics implemented Bad documentation Quality attributes x Metrics
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An Approach to An Approach to Measure Java Code Measure Java Code
QualityQuality
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An Approach to Measure Java Code QualityAn Approach to Measure Java Code Quality Quality Attributes x Metrics
Metrics Selection and Specification
Quality Attributes measurement
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Quality in a Reuse Environment Quality in a Reuse Environment [Etzkorn, 2001][Etzkorn, 2001] ISO 9126
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Quality Attributes x MetricsQuality Attributes x Metrics Quality Attributes Code Attributes LOC
Cyclomatic Complexity CK Metrics
WMC DIT NOC CBO RFC LCOM size x
Analysability complexty x x x X X
documentation x
complexity x x x X X
modularity/
encapsulation X
Changeability coupling x X
cohesion X
inheritance x
Stability
Testability complexity x x x X X
coupling x X
complexidade x x x X x
documentation x
Reusabilitymodularity/
encapsulation x
coupling X x
cohesion x
Quality Attributes x MetricsQuality Attributes x Metrics
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Quality Attributes Code Attributes Lorenz and Kidd
PIM NIM NIV NCM NCV NMO NMI NMA SIX APPM
Analysability
size x x x x x complexty
documentation
Changeability
complexity modularity/
encapsulation coupling cohesion
inheritance x x x x Stability
Testability
complexity coupling
Reusability
complexidade documentation
modularity/ encapsulation
coupling cohesion
Quality Attributes x MetricsQuality Attributes x Metrics
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Quality Attributes Code Attributes MOOD Metrics
MHF AHF MIF AIF PF
Analysability
size complexty
documentation
Changeability
complexity
modularity/ encapsulation
coupling cohesion
inheritance x x Stability
Testability
complexity coupling
Reusability
complexity documentation
modularity/ encapsulation
coupling cohesion
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Metrics Selection and SpecificationMetrics Selection and Specification- Theoretical Validation- Empirical Validation
- Tools
-LOC-Cyclomatic Complexity
- CK Metrics
Metrics Selection and SpecificationMetrics Selection and Specification
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Quality Attributes Measurement (QAM)Quality Attributes Measurement (QAM) QAM = (the number of metrics that have a allowable
value)
QAM >= Number of metrics /2
Example:
2,5 <= QAM <= 5
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Quality Attribute
Code Attribute CK Metrics
WMC DIT CBO RFC LCOMTestability
complexity x x x x
coupling x x
Max Testability = 5Min Testability = 2,5
Metrics, Quality, Reuse? Store assets
Generate their quality attributes Store asset and quality attributes
In “search time”… Asset are recovered according search parameters Quality attributes can be among these parameters
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Main ContributionsMain Contributions Introduce quality analysis in a repository
Reduce code problem propagation Highest Reliability
Quality attributes x Code metrics ISO 9126
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Current StageCurrent Stage Sate-of-the-art in Software Metrics
Approach definition
Prototypal Implementation (partial)
Integration with B.A.R.T. (next step)
Experiment (next step)
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ReferênciasReferências [Frakes, 1994] W. B. Frakes and S. Isoda, "Success Factors of Systematic Software Reuse," IEEE Software, vol. 11, pp.
14--19, 1994. [Griss, 1994] M. L. Griss, "Software Reuse Experience at Hewlett-Packard," presented at 16th International Conference on
Software Engineering (ICSE), Sorrento, Italy, 1994. [Garcia, 2006] V. C. Garcia, D. Lucrédio, F. A. Durão, E. C. R. Santos, E. S. Almeida, R. P. M. Fortes, and S. R. L. Meira,
"From Specification to Experimentation: A Software Component Search Engine Architecture," presented at The 9th International Symposium on Component-Based Software Engineering (CBSE 2006), Mälardalen University, Västerås, Sweden, 2006.
[Etzkorn, 2001] Letha H. Etzkorn, William E. Hughes Jr., Carl G. Davis: Automated reusability quality analysis of OO legacy software. Information & Software Technology 43(5): 295-308 (2001)
[Daskalantonakis, 1992] M. K. Daskalantonakis, “A Pratical View of Software Measurement and Implementation Experiences Within Motorola”, IEEE Transactions on Software Engineering, vol 18, 1992, pp. 998–1010.
[McCabe, 1976] T. J. McCabe, “A Complexity Measure”. IEEE Transactions of Software Engineering, vol SE-2, 1976, pp. 308-320.
[Chidamber, 1994] S. R. Chidamber, C. F. Kemerer, “A Metrics Suite for Object Oriented Design”, IEEE Transactions on Software Engineering, vol 20, Piscataway - USA, 1994, pp. 476-493.
[Lorenz, 1994] M. Lorenz, J. Kidd, “Object-Oriented Software Metrics: A Practical Guide”, Englewood Cliffs, New Jersey - USA, 1994.
[Brito, 1994] A. F. Brito, R. Carapuça, "Object-Oriented Software Engineering: Measuring and controlling the development process", 4th Interntional Conference on Software Quality, USA, 1994.
[Ince, 1988] D. C. Ince, M. J. Sheppard, "System design metrics: a review and perspective", Second IEE/BCS Conference, Liverpool - UK, 1988, pp. 23-27.
[Briand, 2002] L. C. Briand, S. Morasca, V. R. Basili, “An Operational Process for Goal-Driven Definition of Measures”, Software Engineering - IEEE Transactions, vol 28, 2002, pp. 1106-1125.
[Morasca, 1989] S. Morasca, L. C. Briand, V. R. Basili, E. J. Weyuker, M. V. Zelkowitz, B. Kitchenham, S. Lawrence Pfleeger, N. Fenton, "Towards a framework for software measurementvalidation", Software Engineering, IEEE Transactions, vol 23, 1995, pp. 187-189.
[Seacord, 1999] Robert C. Seacord. Software engineering component repositories. Technical report, Software Engineering Institute (SEI), 1999
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Aline TimóteoAline TimóteoUFPE – Federal University of PernambucoUFPE – Federal University of Pernambuco
[email protected]@gmail.com