References
[1]. Alshraideh M. and Bottaci L., (2006). Search-Based
Software Test Data Generation for String Data Using
Program-Specific Search Operators, Special Issue of
Software Testing, Verification and Reliability Devoted to
Extended Papers from the Third UK Testing Conference
(UKTest 2005), Vol. 16, No. 3, 2006, pp. 175-203.
[2]. Alshraideh M., Mahafzah B. A. and Al-Sharaeh S., (2011). A Multiple-Population Genetic Algorithm for
Branch Coverage Test Data Generation, Software Quality
Control, Vol. 19, No. 3, pp. 489-513.
[3]. Alshraideh M., Bottaci L. and Mahafzah B. A., (2010).
Using Program Data-State Scarcity to Guide Automatic
Test Data Generation, Software Quality Control, Vol. 18,
No. 1, pp. 109-144.
[4]. Alshraideh M., Mahafzah B. A., Eyal Salman H. S.,
Salah I., (2013). Using Genetic Algorithm as Test Data
Generator for Stored PL/SQL Program Units, Journal of
Software Engineering and Applications, Vol. 6, No. 2, pp.
65-73.
[5]. Moataz A. Ahmed and Irman Hermadi, (2008). GAbased
multiple paths test data generator, Computers &
Operations Research, Vol. 35, Issue 10, pp. 3107-3124.
[6]. Al-Ashhab B. Majd, (2010). Automatic test data
generation using ant colony optimization, Master's Thesis,
Computer Science Department, The University of Jordan,
Amman, Jordan.
[7]. Shen Hui Wu, Sridhar Jandhyala, Yashwant K.
Malaiya, and Anura P. Jayasumana, (2008). Antirandom
testing: A distance-based approach, Technical Report for
Electrical and Computer Engineering Department,
Colorado State University, USA, Hindawi Publishing
Corporation, DOI:10.1155/2008/165709.
[8]. Kulvinder Singh,, Rakesh Kumar and Iqbal Kaur,
(2010). Effective test case generation using antirandom
software testing, Department of Computer Application,
Kurukshetra University, India, International Journal of
Engineering Science and Technology, 2(11), 6016-6021.
[9]. Yashwant K. Malaiya, (1997). Antirandom testing:
Getting the most out of black-box testing, Technical
Report for Computer Science Department, Colorado
State University, USA, IEEE, 10.1109/ISSRE.1995.497647.
[10]. Yin H., Lebne-Dengel Z., and Malaiya Y. K.(1997).
Automatic test generation using checkpoint encoding and
antirandom testing, The Eighth International Symposium on
Software Reliability Engineering, pp. 84-95.
[11]. Salman E. Hamzeh, (2010). Using genetic algorithm
in test data generation for Oracle named block, Master's
Thesis, Computer Science Department, The University of Jordan, Amman, Jordan.
[12]. P. McMinn, (2004). Search-based software test data
generation: A survey, Software Testing, Verification and
Reliability, Vol. 14 , no. 2, pp.105-156.
[13]. Kulvinder Singh, Seema Rani, and Rekha Rani,
(2011). Anti-random test generation in software testing,
Journal of Global Research in Computer Science, Vol. 2,
No. 5, pp.17-26.
[14]. Chen Tom, Andre Bai, and Amjad Hajjar, (2002). Fast
Anti-Random (FAR) test generation to improve the quality of
behavioral model verification, Department of Electrical
and Computer Engineering, Colorado State University, UAS,
Journal of Electronic Testing, 18(6), 583-594.
[15]. McMinn P., Binkley D., Harman M., and Tonella P.,
(2006). The species per path approach to search based
test data generation, Proceedings of the International
Symposium on Software Testing and Analysis, Portland,
ME, USA, July 17-20, pp. 13-24.