References
[1]. Aha, D.W. (1991). Case-Based Learning Algorithms, In
the proceedings of Case-based reasoning, Workshop at
Washington, D.C.
[2]. Akingbehin, K. (2010). A Structured Framework for
Software Metrics Based on Three Primary Metrics, In 9th
IEEE/ACIS International Conference on Computer and
Information Science.
[3]. Amasaki, S., Takagi, Y., Mizuno, O., & Kikuno, T. (2003).
A Baysian Belief Network for Assessing the Likelihood of
Fault content, In Proceeding of the 14th IEEE International
Symposium on software Reliability Engineering(ISSRE'03).
[4]. Atole, C.S., & Kale, K.V. (2006). Assessment of
Package Cohesion and Coupling Principles for Predicting
the Quality of Object Oriented Design, In proceeding of
IEEE 1st International Conference.
[5]. Blum, B.I. (1992). Software Engineering: A Holistic view,
Oxford University press, New York.
[6]. Briand, L.C, Basili, V.R., & Hetmanski, C.J. (1993).
Developing interpretable Models with optimized set
reduction for identifying high-risk Software Components,
IEEE Transactions on Software Engineering, (Vol. 19), (pp.
1028-1044).
[7]. Brieman, L., Friedman, J.H., Olshen, R.A., & Stone, C.J.
(1992). Classification and Regression Trees(2ndEdition),
Belmont, California.
[8]. Catal, C. (2011). Software fault prediction : A literature
reviews and current trends, In proceeding of Expert
Systems with Applications, (Vol. 38,No. 4), (pp.4626-4636)
Elsevier.
[9]. Clark, L.A., & Pregibon, D. (1992). Tree-Based Models,
Pacific Group California.
[10]. Crosby, P. B., (1979). Quality Is Free: The art of Making
Quality Certain, New York, Mc Graw-Hill.
[11]. Denicoff, M. & Robert, G., (1981). Software Metrics:
A Research Initiative, MIT Press, Cambridge,
Massachusetts.
[12]. Drucker, H., Donghui, W., & Vapnik, V.N. (1999). Support Vector Machines for spam categorization, In IEEE
Transactions on Neural Networks, (Vol.10, No5), (pp.1048-
1054).
[13]. Gokhale, S.S., & Lyu, M.R. (1997). Regression Tree
Modeling for the Prediction of Software Quality, In
proceeding of the 3rd ISSAT international Conferences on
Reliability & Quality design, Anaheim, California (pp.31-
36).
[14]. Haribar, L., & Duka, D. (2010). Software Component
Quality Prediction using KNN and Fuzzy Logic, In MIPRO-
2010, May 24-28,Opatija,Croatia.
[15]. Humphrey, W.S. (1989). Managing the Software
Process, Addison-Wesley.
[16]. Jesen, H.A., & Vairavan, K. (1985). An Experimental
study of software Metrics for real-time Software, IEEE
Transactions on Software Engineering, (Vol.SE-11),
(pp.231-234).
[17]. Jin, C., Jin, S-W., Ye, J-M., & Zhang, Q-G. (2009).
Quality Prediction Model of Object Oriented Software
Systems Using Computational Intelligence, In IEEE 2nd
International Conference on power Electronics and
Intelligent Transportation system.
[18]. Jurn, J.M., & Gryna, F.M. Jr. (1970). Quality Planning
and analysis from Product development through use,
New York, Mc Graw-Hill.
[19]. Kernighan, B.W. (1984). The Unix System and
Software Reusability, IEEE Transactions on Software
Engineering, ( pp. 513-518).
[20]. Khoshgoftar, T.M., Allen, E.B., Kalaichelvan, K.S., &
Goel, N. (1996). Early Quality Prediction: A Case Study in
Telecommunications, IEEE Software, (vol. 13, issue 1).
[21]. Lincke, R., Gutzmann ,T., & Lowe, W. (2010). Software
Quality Prediction Models Compared, In proceeding of
IEEE 10th International Conference on Quality Software.
[22]. Li, K., Kou, J., & Gong, L. (2011). Predicting software
Quality by Optimized BP Network Based on PSO, Journal of
Computers, (Vol. 6, No.1).
[23]. Mahaweerawat, A., Sophatsathit, P., Lursinsap, C., &
Musilek, P. (2004). Fault Prediction in Object-Oriented
software Using Neural Network Techniques.
[24]. Malik, K., & Choudhary, P. (2008). Sofware Quality-A
Practioner's Approach, Tata Migraw-Hill, New Delhi.
[25]. Pandey, A.K., & Goyal, N.K. (2010). Predicting Faultprone
Software Module Using Data Mining Techniques
and Fuzzy Logic, In special issue of IJCCT, (Vol. 2, issue
2,3,4) International Conferences [ICCT-2010], 3rd-5th
December.
[26]. Pontil, M., & Verri, A. (1998). Support vector
machines for 3rd object recognition, In IEEE Transactions
on pattern analysis & Machine Intelligence, (Vol. 20),
(pp.637-646).
[27]. Quah, T.S., & Thwin, M.M.T. (2003). Application of
Neural Networks for Software Quality Prediction using
Object-Oriented Metrics, In proceeding of IEEE
International conference on software Maintenance
(ICSM'03).
[28]. Rana, Z.A., Shamail, S., & Awais, M.M. (2008).
Towards a generic model for Software Quality Prediction,
In proceeding of the 6th International Workshop of
software Quality, (pp. 35-40), New York, USA, ACM.
[29]. Xing, F., Guo, P., & Lyu M.R. (2005). A Novel Method
for Early Software Quality Prediction Based on support
Vector Machine, In Proceeding of the 16th IEEE
International Symposium on software Reliability
Engineering (ISSRE'05).
[30]. Yuan, X., Khoshgoftar, T.M., Allen, E.B., & Ganesan,
K. (2000). An Application of Fuzzy Clustering to Software
Quality Prediction, In Proceeding of the 3rd IEEE
Symposium on Application-Specific System and Software
Engineering Technology.
