An Approach to Measure Java Code Quality in Reuse Environment

1
An Approach to Measure Java Code Quality in Reuse
Environment

• Master Aline Timóteo
• Professor Silvio Meira
• UFPE Federal University of Pernambuco
• alt_at_cin.ufpe.br

2
Summary

• Motivation
• An Approach to Measure Java Code Quality
• Metrics Background
• Quality Attributes x Metrics
• Current Stage
• Conclusion

3
Motivation
4
Reuse

• What is reuse?
• Basili, 1991 Frakes, 1994
• Kruger, 1992

Reuse is a process of creating software systems
from existing software rather than building
software system from scratch.
5
Reuse Program

• Griss Model Griss, 1994
• Reuse leveis
• Sametinger Model Sametinger, 1997
• Domain Abalysis, pilot project,
  Institutionalization
• Commons Points
• Reuse Evironment needs
• Assets Repository
• Search and recovery tools
• ...

6
Search and Recovery Tools Garcia, 2006

• CodeFinder, Agora, CLARiFi, InteliZap,
  Strathcona, Bart ...
• Efficiency in search time
• Communication with different kinds of repository
• Support to all development cicle

7
The Problem

• How to analyze the quality of the assets stored
  in the repository?

8
Work Proposal
9
Work Proposal

• Basic Asset Retrieval Tool (B.A.R.T.) Santos,
  2006
• Tool for search and recovery assets in version
  control systems
• The mais objective of B.A.R.T. System is
• To minimize the time of analysis and
  implementation
• Increased the quality of software products
  through the facilitated access to reusable devices

10
Work Proposal

• bartFilter

• Code Quality

Metrics Quality Attributes
11
Work Proposal
bartFilter analysis assets according with metrics
and quality attributes
Customer request
bartFilter
The server return assets according with the
customer request
12
Tools Analysis
13
Tools Analysis

• Metodology
• Step 1 Selecting software metrics and quality
  attributes
• Step 2 Apply GQM GQM, 1994 (Goal, Question,
  Metrics) in selected metrics and quality
  attributes
• Step 3 Select metrics tools and a project
• Step 4 Collects project metrics
• Step 5 Results Analysis

14
Step 1 Selecting Software Metrics and Quality
Attributes
15
Step 2 Apply GQM in Selected Metrics and Quality
Attributes
16
Step 3 Select Metrics Tools and a Project

• Metrics
• Jdepend
• Javancss
• Refactorit
• JHawk Metrics
• Coverlipse
• Burn

17
Step 4 Collect Project Metrics
18
Step 5 Results Analysis

• We identified some improvement poits
• The metrics relation cant be 1 to n, the best
  way is this relation to be n to m.
• Improve the results representation, study
  statistical forms for it.
• Define clear selection criterions for metrics and
  quality attributes.

19
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• Aline Timóteo
• C.E.S.A.R. - Recife Center for Advanced Studies
  and Systems
• UFPE Federal University of Pernambuco
• alt.timoteo_at_gmail.com