| Automatic software bug triage system (bts) based on latent semantic indexing and support vector machine SN Ahsan, J Ferzund, F Wotawa 2009 Fourth International Conference on Software Engineering Advances, 216-221, 2009 | 124 | 2009 |
| Structure of fluxed sinter SN Ahsan, T Mukherjee, JA Whiteman Ironmaking & steelmaking 10 (2), 54-64, 1983 | 61 | 1983 |
| Data throughput improvement in IS2000 networks via effective F-SCH reduced active set pilot switching R Mudigonda, SN Ahsan US Patent 7,783,312, 2010 | 41 | 2010 |
| System and method for edge of coverage detection in a wireless communication device B Achour, R Hughes, F Usmani, SN Ahsan US Patent 6,363,260, 2002 | 29 | 2002 |
| Program File Bug Fix Effort Estimation Using Machine Learning Methods for OSS. SN Ahsan, J Ferzund, F Wotawa SEKE 9, 129-134, 2009 | 22 | 2009 |
| Impact analysis of SCRs using single and multi-label machine learning classification SN Ahsan, F Wotawa Proceedings of the 2010 ACM-IEEE international symposium on empirical …, 2010 | 21 | 2010 |
| Machine learning based fault prediction system for the primary heat transport system of CANDU type pressurized heavy water reactor SN Ahsan, SA Hassan Open Source Systems and Technologies (ICOSST), 2013 International Conference …, 2013 | 20 | 2013 |
| Software change classification using hunk metrics J Ferzund, SN Ahsan, F Wotawa 2009 IEEE International Conference on Software Maintenance, 471-474, 2009 | 17 | 2009 |
| Arabic speaker identification system using combination of DWT and LPC features SM Shah, SN Ahsan 2014 International Conference on Open Source Systems & Technologies, 176-181, 2014 | 16 | 2014 |
| Fault prediction capability of program file's logical-coupling metrics SN Ahsan, F Wotawa 2011 Joint Conference of the 21st International Workshop on Software …, 2011 | 16 | 2011 |
| Automatic classification of software change request using multi-label machine learning methods SN Ahsan, J Ferzund, F Wotawa 2009 33rd Annual IEEE Software Engineering Workshop, 79-86, 2009 | 16 | 2009 |
| Analysing bug prediction capabilities of static code metrics in open source software J Ferzund, SN Ahsan, F Wotawa International Conference on Software Process and Product Measurement, 331-343, 2008 | 16 | 2008 |
| Empirical evaluation of hunk metrics as bug predictors J Ferzund, SN Ahsan, F Wotawa Software Process and Product Measurement: International Conferences IWSM …, 2009 | 14 | 2009 |
| Mining effort data from the oss repository of developer's bug fix activity S Ahsan, M Afzal, S Zaman, C Guetl, F Wotawa Journal of Information Technology in Asia 3, 67-80, 2010 | 13 | 2010 |
| Dhedvero iron oxide-gold±copper prospect, a preliminary evaluation, Nagar Parker Taluka, Thar Parker District, Sindh, Pakistan SN Ahsan, R Firdous, AS Mastoi, S Ghuryani Geol Surv Pak Inf Release 872, 1-29, 2008 | 12 | 2008 |
| Machine learning based prediction of complex bugs in source code IUN Uqaili, SN Ahsan INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY 17 (1), 26-37, 2020 | 11 | 2020 |
| Dynamic sectors in a wireless communication system J Si, R Tang, SN Ahsan US Patent 8,670,778, 2014 | 11 | 2014 |
| Hybrid network intrusion detection system using machine learning classification and rule based learning system U Aslam, E Batool, SN Ahsan, A Sultan International Journal of Grid and Distributed Computing 10 (2), 51-62, 2017 | 10 | 2017 |
| A genetic model for zinc-lead mineral deposits, Lasbela and Khuzdar Districts, Balochistan, Pakistan SN Ahsan Geologica, Geoscience Lab. Project, Islamabad 2, 1-22, 1996 | 10 | 1996 |
| Fault prediction model for software using soft computing techniques IU Nisa, SN Ahsan 2015 International Conference on Open Source Systems & Technologies (ICOSST …, 2015 | 8 | 2015 |