Florida Atlantic University
Empirical Software Engineering Laboratory
For further information, contact Prof. Taghi M. Khoshgoftaar, Dept. of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL 33432, phone: (561)297-3994, fax: (561)297-2800, email: taghi@cse.fau.edu.
[1]Ranga Anumulapally. Simulation analysis of the IBM subsystem control block architecture in a network file server environment. Master's thesis, Florida Atlantic University, Boca Raton, FL USA, August 1994. Advised by Taghi M. Khoshgoftaar.
[2]Anne de Gramont. An empirical study of source code complexity and source code modifications during testing and maintenance. Master's thesis, Florida Atlantic University, Boca Raton, FL, December 1994. Advised by Taghi M. Khoshgoftaar.
[3]K. Ganesan. One-way functions and the isomorphism conjecture. Theoretical Computer Science, 129(2):309--321, August 1994.
[4]K. Ganesan, Taghi M. Khoshgoftaar, and C. Vasudevan. Case-based reasoning for software quality prediction. Technical Report tr-cse-94-46, Florida Atlantic University, Boca Raton, FL USA, October 1994.
[5]K. Ganesan and C. Vasudevan. Case-based navigational planner for autonomous underwater vehicles. In Proceedings of the Workshop on Artificial Intelligence Technologies for Environmental Applications, pages 31--36, Seattle, WA USA, July 1994. AAAI.
[6]Khoa D. Huynh. Performance Analysis of a New Object-Based I/O Architecture for PCs and Workstations. PhD thesis, Florida Atlantic University, Boca Raton, FL USA, December 1994. Advised by Taghi M. Khoshgoftaar.
[7]Khoa D. Huynh and Taghi M. Khoshgoftaar. Performance analysis of advanced I/O architectures for pc-based video servers. Multimedia Systems, 2(1):36--50, June 1994.
[8]Khoa D. Huynh and Taghi M. Khoshgoftaar. A performance analysis of personal computers in a video conferencing environment. Multimedia Systems, 2(3):103--117, September 1994.
[9]Taghi M. Khoshgoftaar Khoa D. Huynh. A performance analysis of advanced I/O architectures for PC-based network file servers. IEE Distributed Systems Engineering, pages 332--344, December 1994.
[10]Taghi M. Khoshgoftaar and Edward B. Allen. Applications of information theory to software engineering measurement. Software Quality Journal, 3(2):79--103, June 1994.
[11]Taghi M. Khoshgoftaar and Edward B. Allen. Empirical validation of an information theory based software metric. Technical Report tr-cse-94-26, Florida Atlantic University, Boca Raton, FL, July 1994.
[12]Taghi M. Khoshgoftaar and David L. Lanning. Are the principal components of software complexity data stable across software products? In Proceedings of the International Symposium on Software Metrics, pages 61--72, London, UK, October 1994. IEEE Computer Society.
[13]Taghi M. Khoshgoftaar and David L. Lanning. A neural network approach for early detection of program modules having high risk in the maintenance phase. In Proceedings of the Annual Oregon Workshop on Software Metrics, Silver Falls, OR, April 1994. Oregon Center for Advanced Technology Education, Portland State University. Also published in Journal of Systems and Software, 1995.
[14]Taghi M. Khoshgoftaar and David L. Lanning. On the impact of software product dissimilarity on software quality models. In Proceedings of the Fifth International Symposium on Software Reliability Engineering, pages 104--114, Monterey, CA, November 1994. IEEE Computer Society.
[15]Taghi M. Khoshgoftaar, David L. Lanning, and Abhijit S. Pandya. A comparative study of pattern recognition techniques for quality evaluation of telecommunications software. IEEE Journal on Selected Areas in Communications, 12(2):279--291, February 1994.
[16]Taghi M. Khoshgoftaar, John C. Munson, Bibhuti B. Bhattacharya, and Gary D. Richardson. A simulation study of the performance of several estimation procedures for linear regression models. International Journal of Modelling and Simulation, 14(3):145--149, 1994.
[17]Taghi M. Khoshgoftaar, John C. Munson, and David L. Lanning. Alternative approaches for the use of metrics to order programs by complexity. Journal of Systems and Software, 24(3):211--221, March 1994.
[18]Taghi M. Khoshgoftaar and Paul Oman. Software metrics: Charting the course. Computer, 27(9):13--15, September 1994. Guest editors of special issue on software metrics.
[19]Taghi M. Khoshgoftaar and Robert M. Szabo. ARIMA models of software system quality. In Proceedings of the Annual Oregon Workshop on Software Metrics, Silver Falls, OR, April 1994. Oregon Center for Advanced Technology Education, Portland State University.
[20]Taghi M. Khoshgoftaar and Robert M. Szabo. Improving code churn predictions during the system test and maintenance phases. In Proceedings of the International Conference on Software Maintenance, pages 58--67, Victoria, BC Canada, September 1994. IEEE Computer Society.
[21]Taghi M. Khoshgoftaar and Robert M. Szabo. Improving neural network predictions of software quality using principal components analysis. In Proceedings of the International Conference on Neural Networks, pages 3295--3300, Orlando, FL, June 1994. IEEE Computer Society.
[22]Taghi M. Khoshgoftaar and Robert M. Szabo. Predicting software quality during testing using neural network models: A comparative study. International Journal of Reliability, Quality, and Safety Engineering, 1(3):303--319, September 1994.
[23]Taghi M. Khoshgoftaar, Robert M. Szabo, and Timothy G. Woodcock. An empirical study of program quality during testing and maintenance. Software Quality Journal, 3(3):137--151, September 1994.
[24]David L. Lanning. Multivariate Modeling of Software Engineering Measures. PhD thesis, Florida Atlantic University, Boca Raton, FL, August 1994. Advised by Taghi M. Khoshgoftaar.
[25]David L. Lanning and Taghi M. Khoshgoftaar. Canonical modeling of software complexity and fault correction activity. In Hausi A. Mller and Mari Georges, editors, Proceedings of the International Conference on Software Maintenance, pages 374--381, Victoria, BC Canada, September 1994. IEEE Computer Society.
[26]David L. Lanning and Taghi M. Khoshgoftaar. Modeling the relationship between source code complexity and maintenance difficulty. Computer, 27(9):35--40, September 1994.
[27]C. Vasudevan. An experience-based approach to software project management. In Proceedings of the Seventh IEEE Conference on Tools with Artificial Intelligence, pages 624--630, New Orleans, LA USA, November 1994. IEEE Computer Society.
[28]C. Vasudevan and K. Ganesan. Case-based path planning for autonomous underwater vehicles. In Proceedings of the Ninth International Symposium on Intelligent Control, pages 160--165, Ohio USA, August 1994. IEEE.
[29]C. Vasudevan and K. Ganesan. Intelligent mission planner for autonomous underwater vehicles. In Proceedings of the Conference on Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, pages 118--128, Orlando, FL USA, April 1994. AAAI and IEEE Systems, Man and Cybernetics Society.
[30]C. Vasudevan, Samuel M. Smith, and K. Ganesan. Fuzzy logic in case-based planning. In Proceedings of the International Joint Conference of NAFIPS/IFIS/NASA, San Antonio, TX USA, December 1994.
[31]Timothy G. Woodcock and Taghi M. Khoshgoftaar. Metric gathering pitfalls.
In Proceedings of the Annual Oregon Workshop on Software Metrics, Silver
Falls, OR, April 1994. Oregon Center for Advanced Technology Education,
Portland State University.