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An Approach to Measure Java Code An Approach to Measure Java Code Quality in Reuse EnvironmentQuality in Reuse Environment

Master: Aline TimóteoMaster: Aline TimóteoProfessor: Silvio MeiraProfessor: Silvio Meira

UFPE – Federal University of PernambucoUFPE – Federal University of [email protected]@cin.ufpe.br


SummarySummary

Motivation Background

Quality in a Reuse Environment Metrics

An Approach to Measure Java Code Quality Main Contributions


MotivationMotivation



Reuse environment [Frakes, 1994] Process Metrics Assets Tools



Component Repository promote reuse success [Griss, 1994]

Search Engine[Garcia, 2006] Analyze a set of Search Engines

Requirements Artifact filtering


ProblemProblem

Artifacts quality In search time? How to eliminate low-quality artifacts?

In other words…

How to eliminate low-quality artifacts in search time?


BackgroundBackground


Quality in a Reuse Environment Quality in a Reuse Environment [Etzkorn, 2001][Etzkorn, 2001] ISO 9126


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


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]


Problems related to Metrics Problems related to Metrics [Ince, 1988 and Briand, 2002][Ince, 1988 and Briand, 2002] Metrics Validation

Measurement goal Experimental hypothesis Environment or context Theoretical Validation Empirical validation

Metrics Automation Different set of metrics implemented Bad documentation Quality attributes x Metrics



An Approach to An Approach to Measure Java Code Measure Java Code

QualityQuality


An Approach to Measure Java Code QualityAn Approach to Measure Java Code Quality

Quality Attributes x Metrics

Metrics Selection and Specification

Quality Attributes measurement


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 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


coupling

cohesion



Quality Attributes Code Attributes MOOD Metrics

MHF AHF MIF AIF PF

Analysability

size

complexty

documentation

Changeability

complexity


coupling

cohesion

inheritance x x

Stability

Testability

complexity

coupling

Reusability

complexity

documentation


coupling

cohesion


Metrics Selection and SpecificationMetrics Selection and Specification

- Theoretical Validation

- Empirical Validation

- Tools

-LOC

-Cyclomatic Complexity

- CK Metrics

Metrics Selection and SpecificationMetrics Selection and Specification


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


Quality Attribute

Code Attribute CK Metrics

WMC DIT CBO RFC LCOMTestability

complexity x x x x

coupling x x


ContributionsContributions

Introduce quality analysis in a search engine Store assets and their quality attributes In the search time the asset is recovered according quality

attribute values

Quality attributes x Code metrics ISO 9126


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)


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.


Aline TimóteoAline Timóteo

UFPE – Federal University of PernambucoUFPE – Federal University of Pernambuco

[email protected]@gmail.com

http:// an approach to measure java code quality in reuse environment master: aline timóteo...

Documents

metrics software metrics

x x cohesion x slide

metrics ince

reuse environment metrics

cohesion slide

motivation slide

coupling x x complexidade

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