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Name: Dr. Onaiza Maqbool
Designation: Assistant Professor and Chairperson
Department: Computer Science


Qualifications:


Phone: +92-51 9064-2060
Email: omaqbool@gmail.com
Status: On Job
Other Weblink:


Research Interests Publications Conferences Research Projects

Software modularization and architecture recovery, Software clustering, Software repository mining, Supervised and unsupervised learning techniques for software reverse/re-engineering

Journals

 

·         M. Sarwar, O. Maqbool, “The RSO Algorithm for Reducing Number of Set Operations in Association Rule Mining”, Lecture Notes in Artificial Intelligence, 5139:460-468, October 2008 .

 

·         O.Maqbool, H.A.Babri, “Hierarchical Clustering for Software Architecture Recovery”, IEEE Transactions on Software Engineering, 33(11):759-780, November 2007.

 

·         O.Maqbool, H.A.Babri, “Automated Software Clustering: An Insight using Cluster labels”, Journal of Systems and Software, 79(11):1632-1648, November 2006.

 

·         O.Maqbool, H.A.Babri, A. Karim and S.M. Sarwar, “Metarule-Guided Association Rule Mining for Program Understanding”, IEE Software, 152(6):281-296, December 2005.

 

 

Conferences

 

 

·         Jaweria Kanwal, Onaiza Maqbool, “Managing Open Bug Repositories through Bug Report Prioritization Using SVMs”, In Proc. of the International Conference on Open-Source Systems and Technologies, December 2010

 

·         Jehangir Ashraf Awan, Onaiza Maqbool, “Application of Artificial Neural Networks for Monsoon Rainfall Prediction”, In Proc. of the International Conference on Emerging Technologies, October 2010

 

·         Mohammad Siraj, Onaiza Maqbool, Abdul Qudus Abbasi, “Role of Relationships during Clustering of Object-Oriented Software Systems”, In Proc. of the International Conference on Emerging Technologies, October 2010

 

·         Rashid Naseem, Onaiza Maqbool, “An Improved Similarity Measure for Binary Features in Software Clustering”, In Proc. of the International Conference on Computational Intelligence, Modelling and Simulation, September 2010

 

·         Imran Hassan, Onaiza Maqbool, Qaisar Ahsan, Usman Qayyum “Cascading Neural Network with Adaboost for Face Detection”, In Proc. of the International Conference on Applied Sciences and Technology, January 2010.

 

·         Shafqat Ali, O. Maqbool, “Monitoring Software Evolution using Multiple Types of Changes”, In Proc. of the IEEE International Conference on Emerging Technologies, October 2009.

 

·         M. A. Qureshi, O. Maqbool, “The Complexity of Teaching Computability and Complexity”, In Proc. of the International Conference on Teaching and Learning (ICTL), November, 2007.

 

·         O.Maqbool, H.A.Babri, “Bayesian Learning for Software Architecture Recovery”, In Proc. of the International Conference on Electrical Engineering, pp. 1-6, April 2007.

 

·         O.Maqbool, H.A.Babri, “A Stability Analysis of Clustering Algorithms”, In Proc. of the International Multi-topic Conference, pp. 314-319, December 2006.

 

·         O.Maqbool, H.A.Babri, “Interpreting Clustering Results through Cluster Labeling”, In Proc. of the IEEE International Conference on Emerging Technologies, pp. 429-434, September 2005.

 

·         O.Maqbool, A. Karim, H.A.Babri and S.M. Sarwar, “Reverse Engineering using Association Rules”, In Proc. of the International Multi-topic Conference, pp. 389-395, December 2004.

 

·         O.Maqbool, H.A.Babri, “The Weighted Combined Algorithm: A Linkage Algorithm for Software Clustering”, In Proc. of the Conference on Software Maintenance and Re-engineering (CSMR), pp. 15-24, March 2004.

 

·         M.Saeed, O.Maqbool, H.A.Babri, S.M. Sarwar and S.Z. Hassan, “Software Clustering Techniques and the Use of the Combined Algorithm”, In Proc. of the Conference on Software Maintenance and Re-engineering (CSMR), pp. 301-306, March 2003.     



Quaid-i-Azam University Islamabad, 45320, Pakistan.
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