Florida Atlantic University
Empirical Software Engineering Laboratory


1995 Publications

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]Edward B. Allen. Information Theory and Software Measurement. PhD thesis, Florida Atlantic University, Boca Raton, FL, August 1995. Advised by Taghi M. Khoshgoftaar.

[2]Peter J. Guasti. An improved neural net-based approach for predicting software quality. Master's thesis, Florida Atlantic University, Boca Raton, FL USA, April 1995. Advised by Taghi M. Khoshgoftaar.

[3]Khoa D. Huynh and Taghi M. Khoshgoftaar. Performance analysis of a peer-to-peer I/O architecture in the video server environments. Multimedia Tools and Applications, 1(3):217--244, September 1995.

[4]Khoa D. Huynh and Taghi M. Khoshgoftaar. A performance analysis of an object-based I/O architecture in a video server environment. Multimedia Systems, 3(4):162--177, September 1995.

[5]Taghi M. Khoshgoftaar. Identifying fault-prone software modules: A case study. In Proceeding of the Thirteenth Annual Pacific Northwest Software Quality Conference, pages 335--341, Portland, OR, September 1995. Abstract and slides.

[6]Taghi M. Khoshgoftaar. Multivariate analysis of software engineering measures. In Workshop, Waterloo, Ontario, Canada, June 1995. Institute of Mathematical Statistics. Abstract only.

[7]Taghi M. Khoshgoftaar and Edward B. Allen. Multivariate assessment of complex software systems: A comparative study. In Proceedings of the First International Conference on Engineering of Complex Computer Systems, pages 389--396, Fort Lauderdale, FL, November 1995. IEEE Computer Society.

[8]Taghi M. Khoshgoftaar and Edward B. Allen. Predicting faults from an information theory based software metric. In Hoang Pham, editor, Proceedings of the Second ISSAT International Conference on Reliability and Quality in Design, pages 210--214, Orlando, FL, March 1995. International Society of Science and Applied Technologies.

[9]Taghi M. Khoshgoftaar and Edward B. Allen. An information theoretic approach to predicting software faults. Technical Report tr-cse-95-27, Florida Atlantic University, Boca Raton, FL, March 1996. Revised.

[10]Taghi M. Khoshgoftaar, Edward B. Allen, and Anne de Gramont. Identifying change-prone telecommunications software modules during testing and maintenance. In Proceedings of the Annual Oregon Workshop on Software Metrics, Silver Falls, OR, June 1995. Oregon Center for Advanced Technology Education, Portland State University.

[11]Taghi M. Khoshgoftaar, Edward B. Allen, John P. Hudepohl, Stephen J. Aud, and Jean Mayrand. Selecting software metrics for a large telecommunications system. In Proceedings of the Fourth Software Engineering Research Forum, pages 221--229, Boca Raton, FL, November 1995.

[12]Taghi M. Khoshgoftaar, Edward B. Allen, Kalai S. Kalaichelvan, Nishith Goel, John P. Hudepohl, and Jean Mayrand. Detection of fault-prone program modules in a very large telecommunications system. In Proceedings of the Sixth International Symposium on Software Reliability Engineering, pages 24--33, Toulouse, France, October 1995. IEEE Computer Society.

[13]Taghi M. Khoshgoftaar and David L. Lanning. An alternative modeling approach for predicting program changes. Computer Science and Informatics: CSI Journal, 25(3):25--38, September 1995.

[14]Taghi M. Khoshgoftaar and David L. Lanning. Improving development process feedback by considering software product similarity. In Proceedings of the Annual Oregon Workshop on Software Metrics, Silver Falls, OR, June 1995. Oregon Center for Advanced Technology Education, Portland State University.

[15]Taghi M. Khoshgoftaar and David L. Lanning. A neural network approach for early detection of program modules having high risk in the maintenance phase. Journal of Systems and Software, 29(1):85--91, April 1995.

[16]Taghi M. Khoshgoftaar, Abhijit S. Pandya, and David L. Lanning. Application of neural networks for predicting faults. Annals of Software Engineering, 1:141--154, 1995.

[17]Taghi M. Khoshgoftaar and Robert M. Szabo. Investigating arima models of software system quality. Software Quality Journal, 4(1):33--48, March 1995.

[18]Taghi M. Khoshgoftaar, Robert M. Szabo, and Peter J. Guasti. Exploring the behavior of neural network software quality models. Software Engineering Journal, 10(3):89--96, May 1995.

[19]Taghi M. Khoshgoftaar, Robert M. Szabo, and Jeffrey M. Voas. Detecting program modules with low testability. In Proceedings of the International Conference on Software Maintenance, pages 242--250, Opio, France, October 1995. IEEE Computer Society.

[20]David L. Lanning and Taghi M. Khoshgoftaar. An empirical model of enhancement-induced defect activity in software. IEEE Transactions on Reliability, 44(4):672--676, December 1995.

[21]David L. Lanning and Taghi M. Khoshgoftaar. Fault severity in models of fault-correction activity. IEEE Transactions on Reliability, 44(4):666--671, September 1995.

[22]David L. Lanning and Taghi M. Khoshgoftaar. The impact of software enhancement on software reliability. IEEE Transactions on Reliability, 44(4):677--682, December 1995.

[23]David L. Lanning, Taghi M. Khoshgoftaar, and Ronald E. Wier. Neural network detection of change-prone telecommunications software modules during testing and maintenance. In Proceedings of the Fourth Software Engineering Research Forum, pages 201--207, Boca Raton, FL, November 1995.

[24]Don F. Shenker and Taghi M. Khoshgoftaar. A survey of software quality/cost estimation models. In Proceedings of the Fourth Software Engineering Research Forum, pages 183--192, Boca Raton, FL, November 1995.

[25]Nancy T. Smith. Software design using case-based reasoning. Master's thesis, Florida Atlantic University, Boca Raton, FL, August 1995. Advised by K. Ganesan.

[26]Nancy T. Smith and K. Ganesan. Software design using case-based reasoning. In Proceedings of the Fourth Software Engineering Research Forum, pages 193--200, Boca Raton, FL, November 1995.

[27]Samuel M. Smith, K. Ganesan, T. Flanigan, L. Marquis, and J. Kloske. The intelligent distributed control system architecture in the OVII and ocean explorer vehicles. In Proceedings of the Ninth International Symposium on Unmanned Untethered Submersible Technology, Durham, NH USA, September 1995.

[28]Robert M. Szabo. Improved Models of Software Quality. PhD thesis, Florida Atlantic University, Boca Raton, FL, August 1995. Advised by Taghi M. Khoshgoftaar.

[29]Robert M. Szabo and Taghi M. Khoshgoftaar. An assessment of software quality in a c++ environment. In Proceedings of the Sixth International Symposium on Software Reliability Engineering, pages 240--249, Toulouse, France, October 1995. IEEE Computer Society.

[30]Robert M. Szabo and Taghi M. Khoshgoftaar. Modeling software quality in an object oriented software system. In Proceedings of the Annual Oregon Workshop on Software Metrics, Silver Falls, OR, June 1995. Oregon Center for Advanced Technology Education, Portland State University.

[31]C. Vasudevan. Case-Based Reasoning for Mission Planning, Control, and Decision Making. PhD thesis, Florida Atlantic University, Boca Raton, FL USA, April 1995. Advised by K. Ganesan.

[32]C. Vasudevan, K. Ganesan, and Samuel M. Smith. A fuzzy-CBR scheme for reactive navigation of autonomous underwater vehicles. In Proceedings of the Florida AI Research Symposium (FLAIRS), Melbourne Beach, FL USA, April 1995.

[33]C. Vasudevan, Samuel M. Smith, and K. Ganesan. Collision avoidance by dynamic path selection and fuzzy behavior control. In Proceedings of the Ninth International Symposium on Unmanned Untethered Submersible Technology, Durham, NH USA, September 1995.

[34]Ronald Weir. The detection of change-prone telecommunications software modules. Master's thesis, Florida Atlantic University, Boca Raton, FL USA, August 1995. Advised by Taghi M. Khoshgoftaar.


URL: http://www.cse.fau.edu/research/ESEL/esel95.htm