References
[1]. Pigoski , T. M . ( 1996 ) . Practical Software
Maintenance: Best Practices for Managing your Software
Investment, Wiley Computer Publishing.
[2]. Sommerville (2001). Software Engineering, 6th ed.,
Harlow, Addison-Wesley, 2001.
[3]. Zhou, Y., and Leung, H. 80 (2007). “Predicting Object-
Oriented Software Maintainability using Multivariate
Adaptive regression Splines”, The Journal of Systems and
Software, pp. 1349-1361.
[4]. Anponellis, P., Antorious, D., and others, “A Data
Mining Methodology for Evaluating Maintainability
According to ISO/IEC-9126 Software Engineering-
Product”, Internet.
[5]. Chidamber and Kemerer, C.F. (1994). “A Metrics suite
for Object Oriented Design,” IEEE Transactions on
Software Engineering”, Vol. 20, No.4, pp. 476-493.
[6]. Kanellopoulos, Y., and Others (2007). “K-attractors: A
clustering Algorithm for Software Measurement Data
Analysis,” 19th IEEE International Conference on Tools with
A.I.
[7]. Malviya, A.K. and Dutta, M. (2004). “Measuring the
Maintainability of Object Oriented Systems”, International
Journal of Information & Computing Science, Vol. 7 and
No. 2, pp. 1-12.
[8]. Muthana, S., Kontogiannis, K., Ponnambalam, K.,
and Stacey, B. (2000). “A Maintainable Model for Industrial Software Systems Using Design Level Metrics”, IEEE
Software.
[9]. Zhong S., Khoshgoftar, T.M., and Seliya, N. (2004).
“Analyzing Software Measurement Data with Clustering
Techniques”, IEEE Intelligent System, Vol. 19, No. 2, pp. 20-
27.
[10]. Kanellopoulos, Y., Makris, C., and Tjortjis, C. (2006).
“An Improved Methodology on information Distillation by
Mining Program Source Code”, to appear at Elsevier Data
& Knowledge Engineering.
[11]. Kanellopoulos Y., Dimopoulos T., Tjortjis C., and
Makris, C. (2006). “Mining Source Code Elements for
Comprehending Object-Oriented Systems and
Evaluating Their Maintainability” to appear at the ACM
SIGKDD Explorations v8.1, Special Issue on Successful
Real-World Data Mining Applications, June.
[12]. Kaur, A., Sandhu, P.S., and Brar, A.S. (2009). “Early
software fault prediction using real time defect data”. In
the proceedings of Second international conference on
Machine Vision, Dubai, pp.242-245.
[13]. Kaur, A., Sandhu, P., and Brar, A. (2010). “An Empirical
Approach for software fault prediction”, Fifth International
Conference on industrial and Information System,
pp.261-265.
[14]. Bandi, R., Vijay, K. Vaishnavi, Daniel, E. Turk (2003).
“Predicting Maintenance Performance Using Object
Oriented Design Complexity Metrics”, IEEE Transactions on
Software, Vol. 29, No. 1, January, pp.77-87.
[15]. Arisholm, E., Lionel, C. Briand, Audun Foyen (2004).
“Dynamic Coupling Measurement for Object-Oriented
Software”, IEEE Transactions on Software Engineering, Vol.
30, No. 8, August, pp. 491-506.
[16]. Sutherland, J. (1995). “Business Objects in corporate
Information Systems,” ACM Computing Survey, Vol. 27, pp
274-276.
[17]. Tan, Y., and Mookerjee, V.S. (2005). “Comparing
Uniform and Flexible Policies for Software Maintenance
and Replacement”, IEEE Transactions on Software
Engineering, Vol. 31(3), March, pp. 238-255.
[18]. Rousidis, D., and Tjortjis, C. (2005). “Clustering Data
Retrieved from Java Source Code to Support Software
maintenance: A Case Study”, Proceeding IEEE ninth
European Conference on Software Maintenance and
Reengineering, pp. 276-279.
[19]. Xiao C., and V. Tzerpos (2005). “Software Clustering
on Dynamic Dependencies”, Proceeding IEEE ninth
European Conference on Software Maintenance and
Reengineering, pp. 124-133.
[20]. ISO/IEC 9126-1 (2001). Software Engineering
–Product Quality International Standard, Geneva.
[21]. Malviya, A.K., and Singh, Vibhooti (2011). “The Role
and Issues of Clustering Technique in Designing
Maintainable Object Oriented System”, International
Journal of Information & Computing Science and
Engineering, Vol. 3 and No. 2, pp. 784-788.
[22]. Joaquín Pérez Ortega, Ma. Del Rocío Boone Rojas
and María J. Somodevilla García (2009). Proceedings of
the 2nd Workshop on Semantic Web and New
Technologies (SemWeb09), Puebla, Mexico, March 23-
24. Vol-534, pages 83-96.
[23]. Li. W., & Henry, S. (1993). “Object-Oriented Metrics that Predict Maintainability”, The Journal of Systems and Software, Vol. 23, pp. 111-122.
