How to cite this paper
APA: Kundu, S & Tyagi, K. (2017). Maintainability assessment for software by using a hybrid fuzzy multi-criteria analysis approach. Management Science Letters, 7(6), 255-274.
Chicago/Turabian: Kundu, S & Tyagi, K. 2017. "Maintainability assessment for software by using a hybrid fuzzy multi-criteria analysis approach." Management Science Letters 7, no. 6 (2017): 255-274.
AMA: Kundu, S & Tyagi, K. Maintainability assessment for software by using a hybrid fuzzy multi-criteria analysis approach. Management Science Letters. 2017;7(6):255-274.
References
Cai, L., Liu, Z., Zhang, J., Tong, W., & Yang, G. (2010, August). Evaluating Software Maintainabil-ity Using Fuzzy Entropy Theory. In Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on (pp. 737-742). IEEE.
Chen, J., & Liu, X. (2009, December). Software maintainability metrics based on the index system and fuzzy method. In Information Science and Engineering (ICISE), 2009 1st International Con-ference on (pp. 5117-5120). IEEE.
Chidamber, S. R., & Kemerer, C. F. (1991). Towards a metrics suite for object oriented design. ACM, 26(11), 197-211.
Chidamber, S. R., & Kemerer, C. F. (1994). A metrics suite for object oriented design. IEEE Transac-tions on Software Engineering, 20(6), 476-493.
Deng, H. (1999, August). Multicriteria analysis with fuzzy pairwise comparison. In Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE'99. 1999 IEEE International (Vol. 2, pp. 726-731). IEEE.
Deng, H. (2007, August). A similarity-based approach to ranking multicriteria alternatives. In International Conference on Intelligent Computing (pp. 253-262). Springer Berlin Heidelberg.
Dubey, S. K., & Rana, A. (2012). A Fuzzy Approach for Evaluation of Maintainability of Object Ori-ented Software System. International Journal of Computer Applications, 49(21).
Fulei, W. (2010). The research on college teacher performance evaluation based on fuzzy-AHP meth-od. In: Proceedings of the 2nd international workshop on education technology and computer sci-ence, IEEE computer society.
Gani, A. N., & Assarudeen, S. M. (2012). A new operation on triangular fuzzy number for solving fuzzy linear programming problem. Applied Mathematical Sciences, 6(11), 525-532.
Ghosh, S., & Dubey, S. K. (2012). Fuzzy Maintainability Model for Object Oriented Software Sys-tem.
Goel, N., Dubey, S. K., & Rana, A. (2012). Fuzzy layered approach for maintainability evaluation of object oriented software system. International Journal of Scientific & Engineering Research, 3(6), 1.
Gyimothy, T., Ferenc, R., & Siket, I. (2005). Empirical validation of object-oriented metrics on open source software for fault prediction. IEEE Transactions on Software engineering, 31(10), 897-910.
Hwang, C.L., & Yoon, K.P. (1981). Multiple attributes decision making methods and applications. Springer, Berlin, pp 12–21
Jeet, K., & Dhir, R. (2012). Bayesian and fuzzy approach to assess and predict the maintainability of software: A comparative study. ISRN Software Engineering, 2012.
Kumar, V., Sharma, A., Kumar, R., & Grover, P. S. (2012). Quality aspects for component‐based sys-tems: A metrics based approach. Software: Practice and Experience, 42(12), 1531-1548.
Li, W. (1998). Another metric suite for object-oriented programming. Journal of Systems and Soft-ware, 44(2), 155-162.
Mahmood, Z. (1982). Multiple criteria decision making. McGraw-Hill, New York
Momeni, H., & Zahedian, S. (2014). Aspect-oriented software maintainability assessment using Adaptive Neuro Fuzzy Inference System (ANFIS).
Moradi, M., & Ebrahimi, E. (2014). Applying Fuzzy AHP and Similarity-Based Approach for Eco-nomic Evaluating Companies Based on Corporate Governance Measures. Global Journal of Man-agement Studies and Researches, 1(1), 10-20.
Seetha lakshmi V (2013) Decision making in academic institutions: A fuzzy ahp approach. Interna-tional Journal of Engineering Science and Technology, 1(5), 403-409.
Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
Zhang, L. (2010). Comparison of classical analytic hierarchy process (AHP) approach and fuzzy AHP approach in multiple-criteria decision making for commercial vehicle information systems and net-works (CVISN) project.
Chen, J., & Liu, X. (2009, December). Software maintainability metrics based on the index system and fuzzy method. In Information Science and Engineering (ICISE), 2009 1st International Con-ference on (pp. 5117-5120). IEEE.
Chidamber, S. R., & Kemerer, C. F. (1991). Towards a metrics suite for object oriented design. ACM, 26(11), 197-211.
Chidamber, S. R., & Kemerer, C. F. (1994). A metrics suite for object oriented design. IEEE Transac-tions on Software Engineering, 20(6), 476-493.
Deng, H. (1999, August). Multicriteria analysis with fuzzy pairwise comparison. In Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE'99. 1999 IEEE International (Vol. 2, pp. 726-731). IEEE.
Deng, H. (2007, August). A similarity-based approach to ranking multicriteria alternatives. In International Conference on Intelligent Computing (pp. 253-262). Springer Berlin Heidelberg.
Dubey, S. K., & Rana, A. (2012). A Fuzzy Approach for Evaluation of Maintainability of Object Ori-ented Software System. International Journal of Computer Applications, 49(21).
Fulei, W. (2010). The research on college teacher performance evaluation based on fuzzy-AHP meth-od. In: Proceedings of the 2nd international workshop on education technology and computer sci-ence, IEEE computer society.
Gani, A. N., & Assarudeen, S. M. (2012). A new operation on triangular fuzzy number for solving fuzzy linear programming problem. Applied Mathematical Sciences, 6(11), 525-532.
Ghosh, S., & Dubey, S. K. (2012). Fuzzy Maintainability Model for Object Oriented Software Sys-tem.
Goel, N., Dubey, S. K., & Rana, A. (2012). Fuzzy layered approach for maintainability evaluation of object oriented software system. International Journal of Scientific & Engineering Research, 3(6), 1.
Gyimothy, T., Ferenc, R., & Siket, I. (2005). Empirical validation of object-oriented metrics on open source software for fault prediction. IEEE Transactions on Software engineering, 31(10), 897-910.
Hwang, C.L., & Yoon, K.P. (1981). Multiple attributes decision making methods and applications. Springer, Berlin, pp 12–21
Jeet, K., & Dhir, R. (2012). Bayesian and fuzzy approach to assess and predict the maintainability of software: A comparative study. ISRN Software Engineering, 2012.
Kumar, V., Sharma, A., Kumar, R., & Grover, P. S. (2012). Quality aspects for component‐based sys-tems: A metrics based approach. Software: Practice and Experience, 42(12), 1531-1548.
Li, W. (1998). Another metric suite for object-oriented programming. Journal of Systems and Soft-ware, 44(2), 155-162.
Mahmood, Z. (1982). Multiple criteria decision making. McGraw-Hill, New York
Momeni, H., & Zahedian, S. (2014). Aspect-oriented software maintainability assessment using Adaptive Neuro Fuzzy Inference System (ANFIS).
Moradi, M., & Ebrahimi, E. (2014). Applying Fuzzy AHP and Similarity-Based Approach for Eco-nomic Evaluating Companies Based on Corporate Governance Measures. Global Journal of Man-agement Studies and Researches, 1(1), 10-20.
Seetha lakshmi V (2013) Decision making in academic institutions: A fuzzy ahp approach. Interna-tional Journal of Engineering Science and Technology, 1(5), 403-409.
Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
Zhang, L. (2010). Comparison of classical analytic hierarchy process (AHP) approach and fuzzy AHP approach in multiple-criteria decision making for commercial vehicle information systems and net-works (CVISN) project.