References
- Salehie, M., Tahvildari, L.: Autonomic computing: emerging trends and open problems. ACM SIGSOFT Software Engineering Notes 30(4), 1-7 (2005 ). doi: 10.1145/1082983.1083082
- Bruhn, J.: A realistic Approach for the autonomic Management of component-based Enterprise Systems. Vol. 3. University of Bamberg Press. Bamberg (2009).
- Kephart, J. O., Chess, D. M.: The vision of autonomic computing. In IEEE Computer Society, Computer 36(1), 41-50 (2003 ). doi: 10.1109/MC.2003.1160055
- Horn, P.: Autonomic computing: IBM’s Perspective on the State of Information Technology (2001).
- IBM: An architectural blueprint for autonomic computing. Autonomic Computing White Paper, IBM 31, 1-6 (2006).
- Chauhan, S., Sharma, A., Grover, P. S.: Developing self managing software systems using agile modeling. ACM SIGSOFT Software Engineering Notes 38(6), 1-3 (2013 ). doi: 10.1145/2532780.2532805
- Sharma, A., Chauhan, S., Grover, P. S.: Autonomic computing: paradigm shift for software development. CSI Communications, 35 (2011).
- Dehraj P., Sharma, A.: Complexity based Maintenance Assessment for Autonomic Agent. In Proceedings of the Advances in Computer Science, pp 221-231. WSEAS, Italy (2015 ).
- Dehraj P., Sharma, A.: Complexity Assessment for Autonomic Systems by Using Neuro-Fuzzy Approach. In: Hoda M., Chauhan N., Quadri S., Srivastava P. (eds) Software Engineering. Advances in Intelligent Systems and Computing, vol 731. pp. 541-549. Springer, Singapore (2019).
- Dehraj P., Sharma, A.: Towards Autonomicity: From Man to Machine and its Challenges. CTICON-Conference 2016, vol. 9(1), CTIJTM (2016 ).
- Dehraj, P., Sharma, A., & Grover, P.S.: Incorporating autonomicity and trustworthiness aspects for assessing software quality. International Journal Engineering and Technology 7(1.1), 421-425 (2018).
- Tsai, W. C., Wang, C. H.: Extended economic maintenance scheduling for a batch production system, Journal of Information and Optimization Sciences, 38:2, 219-231, (2017). doi: 10.1080/02522667.2016.1164986
- Saaty, T. L.: Fundamentals of the analytic network process—Dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering, Springer 13(2), 129-157 (2004).
- Dağdeviren, M., Yüksel, İ.: A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL). Expert systems with applications 37(2), 1005-1014 (2010). doi: 10.1016/j.eswa.2009.05.074
- Rezaeiniya, N., Ghadikolaei, A. S., Mehri-Tekmeh, J., & Rezaeiniya, H. R.: Fuzzy ANP approach for new application: greenhouse location selection; a case in Iran. Journal of mathematics and computer Science, 8(1), 1-20 (2014). doi: 10.22436/jmcs.08.01.01