AN EXPERT MODULE DESIGN AND IMPLEMENTATION THAT EVALUATION THE C&K METRIC SUITE IN TERMS OF OBJECT ORIENTED SOFTWARE QUALITY

Year 2012, Volume: 14 Issue: 1, 55 - 68, 01.01.2012

M Hanefi Calp Nursal Arıcı

Abstract

Object-oriented software has some features such as encapsulation, inheritance, cohesion, coupling and polymorphism.
These features significantly affect the testing, maintenance and repair activities of object-oriented softwares. The successfully
conclusion of these activities, depends on correct detect and correct interpretation of metrics will be evaluated. Also safely
and rapidly evaluation of this metrics, is possible but by developing and using the software testing tools. Nowadays, many
software testing tools that there are for object-oriented metrics. However, there are some limitations on the capabilities of
this tools. Many of the this tools produces only metric findings, does not take any action in the point what this findings mean
and how it affects the quality of the software. Therefore, diversifying and increasing capabilities of these tools is required.
Based on the limitations of software testing tools mentioned in this study, is intended to provide the automation by expert
system approach to object-oriented testing process. For this purpose, an expert module that review and interpret the metric
findings, that providing information about the internal quality attributes of a project (.jar extension) developed according to
object-oriented programming methodology have been developed. Metric suite that developed by Chidamber and Kemerer
(C&K) have been used in this modul. This module, metric findings obtained by software testing tool named Metrics, has the
evaluation feature by methods automatic, manuel and cross-version comparison and the interpreting the relationship
between internal quality specifications. It has been expected that the betreffend module to be a support element to white-box
tests been valid in software testing activities.

Keywords

Object oriented software, Software testing, Metric, Ssoftware quality, Eexpert system

NESNE YÖNELİMLİ YAZILIM KALİTESİ AÇISINDAN C VE K METRİK KÜMESİNİ DEĞERLENDİREN BİR UZMAN MODÜL TASARIMI VE UYGULAMASI

Abstract

These features significantly affect the testing, maintenance and repair activities of object-oriented softwares. The successfully conclusion of these activities, depends on correct detect and correct interpretation of metrics will be evaluated. Also safely and rapidly evaluation of this metrics, is possible but by developing and using the software testing tools. Nowadays, many software testing tools that there are for object-oriented metrics. However, there are some limitations on the capabilities of this tools. Many of the this tools produces only metric findings, does not take any action in the point what this findings mean and how it affects the quality of the software. Therefore, diversifying and increasing capabilities of these tools is required. Based on the limitations of software testing tools mentioned in this study, is intended to provide the automation by expert system approach to object-oriented testing process. For this purpose, an expert module that review and interpret the metric findings, that providing information about the internal quality attributes of a project (.jar extension) developed according to object-oriented programming methodology have been developed. Metric suite that developed by Chidamber and Kemerer (C&K) have been used in this modul. This module, metric findings obtained by software testing tool named Metrics, has the evaluation feature by methods automatic, manuel and cross-version comparison and the interpreting the relationship between internal quality specifications. It has been expected that the betreffend module to be a support element to white-box tests been valid in software testing activities

Keywords

Nesne yönelimli Yazılım, yazılım testi, Metrik, Yazılım kalitesi, Uzman sistem

References

• A. L. Baroni, S. Braz, F. B. Abreu (2002): “Using OCL to Formalize Object-Oriented Design Metrics Definitions”, 6th International ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering, Malaga, İspanya.
• V. R. Basili, L. C. Briand, W. Melo (1996): “A Validation of Object-Oriented Design Metrics as Quality Indicators,” IEEE Trans. on Software Engiıneering, Cilt 22, No. 10.
• H. Başak, İ. Şahin, M. Gülen (2008): “İnsansız Hava Aracı Kazalarının Önlenmesi İçin Uzman Sisteme Dayalı Risk Yönetim Modeli”, Teknoloji, Cilt 11, No. 3, sf. 187-200.
• D. Bellin, M. Tyagi, M. Tyler (1999): “Object-Oriented Metrics: An Overview”, Bilgisayar Mühendisliği Bölümü, Department,North Carolina, AT State Universitesi, Greensboro, Nc 27411-0002.
• L. C. Briand, S. Morasca, V. R. Basili (1996): “Property-Based Software Engineering Measurement”, IEEE Trans. on Software Engineering, Cilt 22, No. 1.
• F. B. Abreu, R. Esteves, M. A. Goulao (1996): “The Design of Eiffel Programs: Quantitative Evaluation Using the MOOD Metrics”, actas de TOOLS'96 (Technology of Object Oriented Languages and Systems), Santa Barbara, CA, EUA, Julho.
• M. H. Calp, N. Arıcı (2011): “Nesne Yönelimli Tasarım Metrikleri ve Kalite Özellikleriyle İlişkisi”, Gazi Üniversitesi Teknik Eğitim Fakültesi Politeknik Dergisi, Cilt: 14, Sayı: 1, sf. 9-14.
• M. H. Calp (2011): “Nesne Yönelimli Yazılım Testi ve Metrik Kümesi Değerlendiren Uzman Modülün Gerçekleştirilmesi”, Yüksek Lisans Tezi, Gazi Üniversitesi, Bilişim Enstitüsü, Ankara.
• N. Chapin, J. Hale, K. Khan, J. Ramil (2001): “Type of software evolution and software maintenance”. Journal of Software Maintenance and Evolution.
• S. R. Chidamber, C. F. Kemerer (1991): “Towards A Metric Suite for Object-Oriented Design”, Proceedings : OOPSLA’91, Phoenix, sf.197-211.
• S. R. Chidamber, C. F. Kemerer (1994): “A Metrics Suite for Object-Oriented Design”, IEEE Transactions On Software Engineering, Cilt 20, No. 6, sf. 482-491.
• Coverity (2012): “Coverity Analysis”, Çevrimiçi: http://www.coverity.com/, Son Erişim Tarihi: 13.04.2012.
• Ç. Çatal, B. Diri (2008b): “A Fault Prediction Model with Limited Fault Data to Improve Test Process”, Lecture Notes in Computer Science 5089, Springer-Verlag, sf. 244-257.
• Ç. Çatal, B. Diri (2007): “Software Fault Prediction with Object Oriented Metrics Based Artifical Immune Recognition System”, Lecture Notes in Computer Science 4589, Springer-Verlag, sf. 300-314.
• Ç. Çatal, B. Diri (2008a): “Yazılım Metriklerini Kullanarak Düşük Kaliteli/Yüksek Kaliteli Modüllerin Otomatik Tespiti”, Yazılım Kalitesi ve Yazılım Geliştirme Araçları Sempozyumu, İstanbul, 1, sf. 8-9.
• U. Erdemir, U. Tekin, F. Buzluca (2008): “Nesneye Dayalı Yazılım Metrikleri ve Yazılım Kalitesi”, Yazılım Kalitesi ve Yazılım Geliştirme Araçları Sempozyumu, İstanbul, sf. 4. Findbugs (2012):,
• “Find Bugs in Java Programs”, Çevrimiçi:
• http://findbugs.sourceforge.net/index.html, Son Erişim Tarihi:13.04.2012.
• R. Harrison, S. Counsell (1998): “Theoretical Validation and Empirical Evaluation of OO Design Metrics”, Declarative Systems and Software Engineering Group.
• J. P.Kaur, A. Verma, S. Thapar (2007): “Software Quality Metrics for Object-Oriented Environments”, Proceedings of National Conference on Challenges & Opportunities in Information Technology, sf.13-16.
• V. Laing, C. Coleman (2001): “Principal Components of Orthogonal OO Metrics", Software Assurance Tecknoloji Merkezi.
• M. Lanza, S. Ducasse (2001): “A Categorization of Classes based on the Visualization of their Internal Structure: The Class Blueprint”, Proceedings of OOPSLA 2001, sf. 300 - 311, ACM Press.
• M. Lanza, S. Ducasse (2003): “Polymetric Views-A Lightweight Visual Approach to Reverse Engineering”; In IEEE Trans. on Software Engineering, Cilt. 29, No. 9, sf. 782 - 795, IEEE CS Press.
• M. Lanza, R. Marinescu (2006): “Object-Oriented Metrics in Practice”; Springer; ISBN: 3- 540-24429-8.
• R. Marinescu (2004): “Detection strategies: Metrics-based rules for detecting design flaws”, ICSM'04, Los Alamitos, IEEE Computer Society Press, sf. 350-359.
• Mccabe Software (2012): “Using Code Quality Metrics in Management of Outsourced Development and Maintenance”, Çevrimiçi: http://www.mccabe.com/pdf/mccabecodequalitymetrics-outsourceddev.pdf, Son Erişim Tarihi:13.04.2012. Metrics 1.3.6 (2012): Çevrimiçi:
• http://metrics.sourceforge.net/, Son Erişim Tarihi:13.04.2012.
• J. F. Muratore, M. P. Demasie (1991): “Artificial Intelligence and Expert Systems In-Flight Software Testing”, Digital Avionics Systems Conference, 1991 Proceedings, IEEE/AIAA 10th, Los Angeles, Amerika, sf. 416-419.
• V. V. Nabiyev (2005): “Yapay Zeka”, Seçkin Yayıncılık, Ankara.
• PMD (2012):, Çevrimiçi: http://pmd.sourceforge.net/, Son Erişim Tarihi:13.04.2012.
• R. S. Pressman (2005): “Software Engineering: A Practitioner’s Approach”, Mc Graw Hill, Singapur.
• R. Pusala (2005): “Operational Excellence Through Efficient Software Testing Metrics”, Eurostar 2005: European Conference On Software Testing Infosys, Almanya, sf. 2-3.
• C. L. Ramsey, V. R. Basili (1986): “An Evaluation of Expert Systems for Software Engineering Management”, Bilgisayar Mühendisliği Bölümü, Maryland College Park Universitesi, Teknik Rapor: TR 1708, IEEE Trans. on Software Engineering, sf. 747–759.
• C. M. Robert (1995): “Object Oriented Design Quality Metrics: An Analysis of dependencies”, ROAD, Cilt 2, No. 3.
• M. Sarker (2005): “An Overview of Object Oriented Design Metrics”, Master Thesis: Bilgisayar Mühendisliği Bölümü, Umea Universitesi, İsveç.
• B. H. Sellers (1996): “Object-Oriented Metrics-Measures of Complexity, série:The Object- Oriented Series”, Prentice Hall PTR, ISBN 0-13-239872.
• F. T. Sheldon, K. Jerath, H. Chung (2002): “Metrices for Maintainability of Class Inheritance Hierarchies”, Journal of Software Maintenance and Evaluation.
• İ. Şahin, H. R. Börklü (2008): “2B Görünüşlerden Otomatik Katı Modeller Oluşturmada Uzman Bir Yaklaşım”, Mühendislik Bilimleri Dergisi, Cilt 14, No. 2, sf. 111-123.
• Y. Tao (1995): “Using Expert Systems to Understand Object-Oriented Behaviour”, 26th SISCSE Technical Symposium on Computer Science Education.
• M. Thirugnanam, J. N. Swathi (2010): “Quality Metrics Tool for Object Oriented Programming”, International Journal of Computer Theory and Engineering, Cilt 2, No. 5, sf. 1793-8201.
• Z. Xu, T. M. Khoshgoftaar, E. B. Allen (2003): “Application of Fuzzy Expert Systems in Assessing Operational Risk of Software”, Information and Software Technology, Cilt 45, No. 7, sf. 373-388.
• Z. Xu, T. M. Khoshgoftaar, K. Gao (2005): “Application of Fuzzy Expert System in Test Case Selection for System Regression Test”, Proceedings of IEEE International Conference on Information Reuse and Integration, IEEE Computer Society, Las Vegas.