References
[1]. Jyoti tewari, Swati Arya, Prem Narayan Singh (2013).
“Approach of Intelligent Software Agents in Future
Development”, IJARCSSE, ISSN:2277128X, May 2013.
[2]. H. H. Ammar, W. Abdelmoez, and M. S. Hamdi, (2012).
"Software Engineering Using Artificial Intelligence
Techniques: Current State and Open Problems",
Proceedings of the First Taibah University International
Conference on Computing and Information Technology
(ICCIT 2012), Al-Madinah Al-Munawwarah, Saudi Arabia,
12-14 March 2012.
[3]. Mark Harman (2011). “The Role of Artificial
Intelligence
in Software Engineering” ACM computing surveys, 2011.
[4]. Prince Jain (2011). “Interaction between
Software Engineering and Artificial Intelligence-A Review ”-
International Journal on Computer Science and
Engineering (IJCSE), ISSN: 0975-3397, Vol. 3 No.12,
December 2011.
[5]. Dr. Nachamai. M, Senthil Vadivu and Tapaskar
(2011). “Enacted Software Development Process Based
on Agent methodologies”, IJEST, Vol.3, No.11, November
2011.
[6]. Farid Meziane, Sunil Vadera, (2010).
“Artificial
Intelligence Applications for Improved Software
Engineering Development: New Prospects” DOI:
10.4018/978-1-60566-758-4.ch014.
[7]. Farah Naaz Raza (2009). “Artificial
Intelligence
Techniques in Software Engineering, International multiconference
of Engineers and Computer Scientists 2009 –
IMECS, ISBN 978-988.17012-2-0 Vol. 1 2009.
[8]. Parveen Ranjan Srivastava, and Tai-Hoon Kim (2009).
Application of Genetic Algorithm in Software Testing,
International Journal of Software Engineering and its
Applications. Vol. 3, No.4, October 2009.
[9]. Hooshyar, B., Tahmani, A., & Shenasa, M. (2008).
A
Genetic Algorithm to Time-Cost Trade off in project
scheduling. Proceedings of the IEEE World Congress on
Computational Intelligence, Hong Kong, pp. 3081-3086.
[10]. Yang, Y., Xia, F., Zhang, W., Xiao, X., Li, Y.,
& Li, X.
(2008). Towards Semantic Requirement Engineering. IEEE
International Workshop on Semantic Computing and
Systems (pp. 67-71).
[11]. Zhen-Yu, Z., Wei-Yang, Y., & Qian-Lei, L.
(2008).
Applications of Fuzzy Critical Chain Method in Project
Scheduling. In Proceedings of the Fourth International
Conference on Natural Computation (pp. 473-477),
Jinan, China.
[12]. Bertolino, A. (2007). Software Testing Research:
Achievements, Challenges, Dreams. In Proceedings of
the IEEE International Conference on Software
Engineering (pp. 85-103), Minneapolis, MN.
[13]. Kobbacy, K. A., Vadera, S., & Rasmy, M. H.
(2007). AI
and OR in management of operations: history and trends.
The Journal of the Operational Research Society, 58,
10–28. doi:10.1057/palgrave.jors.2602132.
[14]. Nand, S., Kaur, A., Jain S. (2007). Use of Fuzzy
Logic in
Software Development. Issues in Information Systems.
Volume VIII, No. 2, pp. 238-244.
[15]. Hu, Y., Chen, J., Rong, Z., Mei, L., & Xie, K.
(2006). A
Neural Networks Approach for Software Risk Analysis. In
Proceedings of the Sixth IEEE International Conference on
Data Mining Workshops (pp. 722-725), Hong Kong.
[16]. Wappler, S., & Wegener, J. (2006). Evolutionary
unit
testing of object-oriented software using strongly-typed
genetic programming. In Proceedings of the Eighth
Annual Conference on Genetic and Evolutionary
Computation (pp. 1925-1932).
[17]. Yujia, G., & Chang, C. (2006). Capability-based
Project Scheduling with Genetic Algorithms. In
Proceedings of the International Conference on
Intelligent Agents, Web Technologies and Internet
Commerce (pp. 161-161).
[18]. Briand, L. C., Labiche, Y., & Shousha, M.
(2005).
Stress testing real-time systems with genetic algorithms. In
Proceedings of the Conference on Genetic and
Evolutionary Computation (pp. 1021- 1028).
[19]. Baresel, A., Binkley, D., Harman, M., & Korel,
B.
(2004). Evolutionary testing in the presence of loopassigned
flags: a testability transformation approach. In
Proceedings of the ACM SIGSOFT International
Symposium on Software Testing and Analysis (pp. 108-
118).
[20]. Gupta, M., Bastani, F., Khan, L., & Yen, I.-L.
(2004).
Automated test data generation using MEA-graph
planning. In Proceedings of the Sixteenth IEEE
Conference on Tools with Artificial Intelligence (pp. 174-
182).
[21]. Wallace, L., & Keil, M. (2004). Software
project risks
and their effect on outcomes. Communications of the
ACM, Vol. 47(4), 68–73. doi:10.1145/975817.975819.
[22]. Baudry, B., Fleurey, F., Jezequel, J.-M., & Le
Traon, Y.
(2002a). Automatic test case optimization using a
bacteriological adaptation model: application to. NET
components. In Proceedings of the Seventeenth IEEE
International Conference on Automated Software
Engineering (pp.253-256).
[23]. Baudry, B., Fleurey, F., Jezequel, J. M., & Le
Traon, Y.
(2002b). Genes and Bacteria for Automatic Test Cases
Optimization in the. Net Environment. In Proceedings of
the Thirteenth International Symposium on Software
Reliability Engineering (ISSRE'02), 195- 206).
[24]. Briand, L. C., Feng, J., & Labiche, Y. (2002).
Using
genetic algorithms and coupling measures to devise
optimal integration test orders. In Proceedings of the
Fourteenth International Conference on Software
Engineering and knowledge Engineering (pp. 43-50).
[25]. Hindi, K. S., Hongbo, Y., & Fleszar, K. (2002).
An
evolutionary algorithm for resource-constrained project
scheduling. IEEE Transactions on Evolutionar y
Computation, 6(5), 512–518.
[26]. Jonathan Onowakpo Goddey Ebbah “Deploying
Artificial Intelligence Techniques In Software Engineering,
American Journal of Undergraduate Research, March
2002.
[27]. Neumann, D. (2002). An Enhanced Neural Network
Technique for Software Risk Analysis. IEEE Transactions on
Software Engineering, 28(9), 904–912. doi:10.1109/
TSE.2002.1033229.
[28]. Shan, Y., McKay, R. I., Lokan, C. J., & Essam,
D.L.
(2002). Software project effort estimation using genetic
programming. In Proceedings of the IEEE International
Conference on Communications, Circuits and Systems
(pp. 1108-1112), Arizona. Washington DC: IEEE Computer
Society.
[29] Thwin, M. M. T., & Quah, T.-S. (2002).
Application of
neural network for predicting software development faults
using object-oriented design metrics. In Proceedings of
the Ninth International Conference on Neural
Information Processing (pp.2312-2316).
[30]. Mark Harman, Bryan F. Jones, (2001). 'Search Based
Software Engineering”, ACM Computing Surveys, Elsevier
science, 2001.
[31]. T. Menzies, “Practical machine learning for
software
engineering and knowledge engineering,” in Handbook
of Software Engineering and Knowledge Engineering.
World-Scientific, December 2001.
[32]. C. Mair, G. Kadoda, M. Lefley, K. Phalp, C.
Schofield, M. Shepperd, and S. Webster, “An investigation
of machine learning based prediction systems,” The
Journal of Systems and Software, Vol. 53, No. 1, pp.23-29,
Jul. 2000.
[33]. Meziane, F., Vadera, S., Kobbacy, K., &
Proudlove,
N. (2000). Intelligent Systems in Manufacturing: Current
Developments and Future Prospects. The International
Journal of Manufacturing Technology Management, Vol.
11(4), pp.218-238.
[34]. C. Ryan (2000). Automatic re-engineering of
software using genetic programming. Kluwer Academic
Publishers, 2000.
[35]. Ian Sommerville, (2000). Software Engineering (6th
Edn.) (Addison Wesley Publishers, New York, USA) 2000.
[36]. Memon, A. M., Pollack, M. E., & Soffa, M. L.
(1999).
Using a Goal Driven Approach to Generate Test Cases for
GUIs. In Proceedings of the Twenty-first International
Conference on Software Engineering (pp. 257-266).
[37]. J. Karlsson and K. Ryan, (1997). “A cost-
value
approach for prioritizing requirements,” IEEE Software, Vol.
14, No. 5, pp. 67–74, September/October 1997.
[38]. Khoshgoftaar, T. M., & Lanning, D. L. (1995). A
Neural
Network Approach for Early Detection of Program
Modules Having High Risk in the Maintenance Phase.
Journal of Systems and Software, Vol. 29, pp.85–91.
doi:10.1016/0164-1212(94)00130-F.
[39]. Cheng, R., & Gen, M. (1994). Evolution program
for
resource constrained project scheduling problem. In
Proceedings of the 1st First IEEE Conference on
Evolutionary Computation, s(pp. 736-741), Orlando, FL,
USA.
[40]. Stuart Russell and Peter Norvig, (1994). Artificial
Intelligence: A Modern Approach (Prentice Hall
Publishers, Upper Saddle River, New Jersey, USA) 1994.
[41]. DeMillo, R.A., Offutt, A.J. (1991). Constraint-
based automatic test data generation. IEEE Transactions on
Software Engineering, Vol. 17 (9), pp.900–910
[42]. Boardman, J. T., & Marshall, G. (1990). A
knowledgebased
architecture for project planning and control. In
Proceedings of the UK Conference on IT, (pp. 125-132),
Southampton, UK.
[43]. Seth Hock, (1989). Computers and Computing.
Houghton Mifflin College Publishers, Boston,
Massachusetts, USA, 1989.
[44]. Bering, C. A., & Crawford, M. W. (1988). Using
an
expert system to test a logistics information system. In
Proceedings of the IEEE National Aerospace and
Electronics Conference (pp.1363-1368), Dayton, OH.
Washington DC: IEEE Computer Society.
[45]. M.L. Emrich, A. Robert Sadlowe, and F. Lloyd
Arrowood (1988). Expert Systems and Advanced Data
Processing. Proceedings of the conference on Expert
Systems Technology the ADP Environment, (Elsevier-North
Holland, New York, USA) 1988.
[46]. Roger S. Pressman (1988). A Beginner's Guide.
McGraw Hill Higher Education Publishers, New York, 1988.
[47]. Booch, G. (1986). Object-Oriented Development.
IEEE Transactions on Software Engineering, Vol. 12(2), pp.
211–221
[48]. Sathi, A., Fox, M. S., & Greenberg, M. (1985).
Representation of Activity Knowledge for Project
Management. IEEE Transactions on Pattern Analysis and
Machine Intelligence, PAMI-7(5), pp.531–552.
doi:10.1109/TPAMI.1985.4767701.
[49]. Wright, J. M., Fox, M. S., & Adam, D. (1984).
SRL/2
User Manual. Robotic Institute, Carnegie- Mellon
University, Pittsburgh, PA.
[50]. Siemens, N. (1971). A Simple CPM Time-Cost
Tradeoff Algorithm. Management Science, Vol. 17(6),
354–363. doi:10.1287/mnsc.17.6.B354.
