Prest: An intelligent software metrics extraction, analysis and defect prediction tool

Proceedings of the 21st International Conference on Software Engineering and Knowledge Engineering, SEKE 2009

Volumn , Issue , 2009, Pages 637-642

  Kocagüneli, Ekrem ^a   Tosun, Ayşe ^a   Bener, Ayşe ^a   Turhan, Burak ^b   Çǧlayan, Bora ^a  

^a BOGAZICI UNIVERSITY   (Turkey)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CALL GRAPHS; DEFECT PREDICTION; EFFICIENCY INCREASE; INDUSTRY PROJECT; INTELLIGENT PREDICTORS; INTELLIGENT SOFTWARE; OPEN SOURCE TOOLS; OPEN SOURCES; PREDICTION AND ANALYSIS; PREDICTION PROCESS; PROGRAMMING LANGUAGE; SOURCE CODES; TESTING EFFICIENCY; TESTING EFFORT;

DEFECTS; INDUSTRY; KNOWLEDGE ENGINEERING; SOFTWARE ENGINEERING;

FORECASTING;

EID: 77956406137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. B. Kitchenham, S. L. Pfleeger, and N. Fenton. Towards a framework for software measurement validation. IEEE Transactions on Software Engineering, 21(12):929-944, 1995.
2. N. Fenton. Software measurement: a necessary scientific basis. Software Engineering, IEEE Transactions on, 20(3):199-206, Mar 1994.
3. M. J. Harrold. Testing: a roadmap. In ICSE '00: Proceedings of the Conference on The Future of Software Engineering, pages 61-72, New York, NY, USA, 2000. ACM.
4. N. Nagappan and T. Ball. Static analysis tools as early indicators of pre-release defect density. Software Engineering, 2005. ICSE 2005. Proceedings. 27th nternational Conference on, pages 580-586, May 2005.
5. Predictive, Integrated Software Metrics, available at http://freedownloads.rbytes.net/cat/development/other4/predictive-lite/
6. Eclipse metrics plug-in 1.3.6, available at http://sourceforge.net/ projects/metrics.
7. P. Kulik and C. Weber. Software metrics best practices - 2001. In Software Metrics Best Practices 2001, March 2001.
8. M. Auer, B. Graser, and S. Biffl. A survey on the fitness of commercial software metric tools for service in heterogeneous environments: common pitfalls. Software Metrics Symposium, 2003.
9. B.Turhan, G. Kocak and A. Bener. Software Defect Prediction Using Call Graph Based Ranking (CGBR) Framework, Proceedings of the 34th EUROMICRO Software Engineering and Advanced Applications (EUROMICRO SEAA'08), 2008.
10. I. H. Witten and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, second edition, June 2005.
11. A. Tosun, B. Turhan and A.Bener. Ensemble of Software Defect Predictors: A Case Study. Proceedings of the 2nd International Symposium on Empirical Software Engineering and Measurement (ESEM'08 Short Paper), pp.318-320, 2008
12. A. Tosun, B. Turhan and A. Bener. The Benefits of a Software Quality Improvement Project in a Medical Software Company: A Before and After Comparison, International Symposium on Health Informatics and Bioinformatics (HIBIT'08 Invited Paper), 2008.
13. A.Tosun, B. Turhan and A. Bener. Direct and Indirect Effects of Software Defect Predictors on Development Lifecycle: An Industrial Case Study, to appear in Proceedings of the 19th Interntational Symposium on Software Reliability Engineering (Industry Track), 2008.
14. Software Research Laboratory (Softlab), available at www.softlab.boun. edu.tr
15. Cyvis Software Complexity Visualizer, http://cyvis.sourceforge.net/
16. Prest Metrics Extraction and Analysis Tool, available at http://code.google.com/p/prest/.
17. T. Menzies, J. Greenwald and A. Frank. Data Mining Static Code Attributes to Learn Defect Predictors, IEEE Transactions on Software Engineering, January 2007, Vol.33, No. 1, pp. 2-13.
18. R. Lincke, J. Lundberg, W. Löwe. Comparing Software Metrics Tools, ISSTA '08: Proceedings of the 2008 international symposium on Software testing and analysis, 2008
19. C and C++ Code Counter, available at sourceforge.net/projects/cccc, 2006.
20. D. Spinellis. Chidamber and Kemerer Java Metrics, available at www.spinellis.gr/sw/ckjm, 2006.
21. Dependency Finder, available at depfind.sourceforge.net, 2008.
22. Analyst4j Find Using Metrics, available at www.codeswat.com.
23. SciTools Source Code Analysis and Metrics, Understand for Java, available at www.scitools.com
24. Victor R. Basili , Lionel C. Briand , Walcélio L. Melo, A Validation of Object-Oriented Design Metrics as Quality Indicators, IEEE Transactions on Software Engineering, v.22 n.10, p.751-761, October 1996
25. S. R. Chidamber , C. F. Kemerer, A Metrics Suite for Object Oriented Design, IEEE Transactions on Software Engineering, v.20 n.6, p.476-493, June 1994
26. Nachiappan Nagappan , Laurie Williams , John Hudepohl , Will Snipes , Mladen Vouk, Preliminary Results On Using Static Analysis Tools For Software Inspection, Proceedings of the 15th International Symposium on Software Reliability Engineering, p.429-439, November 02-05, 2004
27. Yue Jiang , Bojan Cuki , Tim Menzies , Nick Bartlow, Comparing design and code metrics for software quality prediction, Proceedings of the 4th international workshop on Predictor models in software engineering, May 12-13, 2008, Leipzig, Germany
28. A. Gunes Koru , Hongfang Liu, Building Defect Prediction Models in Practice, IEEE Software, v.22 n.6, p.23-29, November 2005