![](bg8.png)
Engineering Science and Technology, an International
Journal, 19(2):737–753.
Awedikian, Z., Ayari, K., and Antoniol, G. (2009). Mc/dc
automatic test input data generation. GECCO ’09,
page 1657–1664, New York, NY, USA. Association
for Computing Machinery.
Ballance, W. A., Vilkomir, S., and Jenkins, W. (2012).
Effectiveness of pair-wise testing for software with
boolean inputs. In 2012 IEEE Fifth International Con-
ference on Software Testing, Verification and Valida-
tion, pages 580–586.
Bell, K. and Vouk, M. (2005). On effectiveness of pairwise
methodology for testing network-centric software. In
2005 International Conference on Information and
Communication Technology, pages 221–235.
Bokil, P., Darke, P., Shrotri, U., and Venkatesh, R. (2009).
Automatic test data generation for c programs. In
2009 Third IEEE International Conference on Se-
cure Software Integration and Reliability Improve-
ment, pages 359–368.
Borazjany, M. N., Yu, L., Lei, Y., Kacker, R., and Kuhn, R.
(2012). Combinatorial testing of acts: A case study.
In 2012 IEEE Fifth International Conference on Soft-
ware Testing, Verification and Validation, pages 591–
600.
Calvagna, A. and Gargantini, A. (2009). Ipo-s: Incremental
generation of combinatorial interaction test data based
on symmetries of covering arrays. In 2009 Interna-
tional Conference on Software Testing, Verification,
and Validation Workshops, pages 10–18.
Chen, T. Y., Kuo, F.-C., Merkel, R. G., and Tse, T. (2010a).
Adaptive random testing: The art of test case diversity.
Journal of Systems and Software, 83(1):60–66. SI:
Top Scholars.
Chen, X., Gu, Q., Qi, J., and Chen, D. (2010b). Apply-
ing particle swarm optimization to pairwise testing. In
2010 IEEE 34th Annual Computer Software and Ap-
plications Conference, pages 107–116.
Czerwonka, J. (2010). Pairwise testing, combinatorial test
case generation. 24th Pacific Northwest Software
Quality Conference, 200.
Dutta, A., Kumar, S., and Godboley, S. (2019). Enhancing
test cases generated by concolic testing. In Proceed-
ings of the 12th Innovations on Software Engineering
Conference (Formerly Known as India Software Engi-
neering Conference), ISEC’19, New York, NY, USA.
Association for Computing Machinery.
Feng-an, Q. and Jian-hui, J. (2007). An improved test case
generation method of pair-wise testing. In 16th Asian
Test Symposium (ATS 2007), pages 149–154.
Godboley, S., Dutta, A., Mohapatra, D. P., and Mall, R.
(2017). J3 model: A novel framework for improved
modified condition/decision coverage analysis. Com-
puter Standards & Interfaces, 50:1–17.
Godboley, S., Dutta, A., Mohapatra, D. P., and Mall, R.
(2018a). Scaling modified condition/decision cover-
age using distributed concolic testing for java pro-
grams. Computer Standards & Interfaces, 59:61–86.
Godboley, S., Dutta, A., Mohapatra, D. P., and Mall, R.
(2018b). Scaling modified condition/decision cov-
erage using distributed concolic testing for java pro-
grams. Computer Standards & Interfaces, 59:61–86.
Godboley, S., Mohapatra, D., Das, A., and Mall, R. (2016).
An improved distributed concolic testing approach.
Software: Practice and Experience, 47.
Godboley, S., Sahani, A., and Mohapatra, D. P. (2015).
Abce: A novel framework for improved branch cov-
erage analysis. Procedia Computer Science, 62:266–
273. Proceedings of the 2015 International Confer-
ence on Soft Computing and Software Engineering
(SCSE’15).
Godefroid, P., Klarlund, N., and Sen, K. (2005). Dart:
Directed automated random testing. In Proceedings
of the 2005 ACM SIGPLAN Conference on Program-
ming Language Design and Implementation, PLDI
’05, page 213–223, New York, NY, USA. Association
for Computing Machinery.
Jun, Y. and Jian, Z. (2009). Combinatorial testing: Princi-
ples and methods. Journal of Software.
Kacker, R. N., Richard Kuhn, D., Lei, Y., and Lawrence,
J. F. (2013). Combinatorial testing for software: An
adaptation of design of experiments. Measurement,
46(9):3745–3752.
Kelly J., H., Dan S., V., John J., C., and Leanna K., R.
(2001). A practical tutorial on modified condition/de-
cision coverage. Technical report.
Kim, J., Choi, K., Hoffman, D. M., and Jung, G. (2007).
White box pairwise test case generation. In Seventh
International Conference on Quality Software (QSIC
2007), pages 286–291.
Lei, Y., Kacker, R., Kuhn, D. R., Okun, V., and Lawrence,
J. (2007). Ipog: A general strategy for t-way software
testing. In 14th Annual IEEE International Confer-
ence and Workshops on the Engineering of Computer-
Based Systems (ECBS’07), pages 549–556.
Li, Z., Chen, Y., Gong, G., Li, D., Lv, K., and Chen, P.
(2019). A survey of the application of combinato-
rial testing. In 2019 IEEE 19th International Con-
ference on Software Quality, Reliability and Security
Companion (QRS-C), pages 512–513.
Maity, S. and Nayak, A. (2005). Improved test generation
algorithms for pair-wise testing. In 16th IEEE Interna-
tional Symposium on Software Reliability Engineering
(ISSRE’05), pages 10 pp.–244.
Niu, X., Nie, C., Leung, H., Lei, Y., Wang, X., Xu, J., and
Wang, Y. (2020). An interleaving approach to combi-
natorial testing and failure-inducing interaction identi-
fication. IEEE Transactions on Software Engineering,
46(6):584–615.
Reid, S. (1997). An empirical analysis of equivalence parti-
tioning, boundary value analysis and random testing.
In Proceedings Fourth International Software Metrics
Symposium, pages 64–73.
Zhou, G., Cai, X., Hu, C., Li, J., Han, W., and Wang, X.
(2018). Research on combinatorial test case gener-
ation of safety-critical embedded software. In Qiao,
F., Patnaik, S., and Wang, J., editors, Recent Develop-
ments in Mechatronics and Intelligent Robotics, pages
204–209, Cham. Springer International Publishing.
Carbon-Box Testing
321