1-Azar, A., Khadivar, A. (2017). Performance based budgeting- Modeling Paradigms. Tehran, Research Center of the Islamic Consultative Assembly, Deputy for Economic Research. (In Persian)
2- Azar, A., khadivar, A., Aminnaseri, M. R., & Anvari rostami, A. R. (2011). Presenting the architecture of the budgeting system based on performance with the intelligent decision support system approach. Management Research in Iran ,15(3), pp.1-22. (In Persian)
3- Azar, A. Rajabzadeh, A. )2014(. Applied Decision MADM Approach Tehran: Negah Danesh Publications. (In Persian)
4- Danaeifard, H., Alvani, M. and Azar, A., (2017). Quantitative Research Methodology in Management: A Comprehensive Approach, Tehran: Saffar Publications – Ishraqi. (In Persian)
5- Azar, A. and Amirkhani, T. (2014). Performance based Budgeting- Theory and implementation model. Tehran, Institute of Management Education and Research and Planning. (In Persian)
6- Abu-Musa, A. A. (2004). The criteria for selecting accounting software: a theoretical framework. Paper presented at the The Second Conference on Administrative Sciences: Meeting the Challenges of the Globalization Age.
7- Andersson, E., Oddsson, L., Grundström, H., Nilsson, J., & Thorstensson, A. J. C. B. (1996). EMG activities of the quadratus lumborum and erector spinae muscles during flexion-relaxation and other motor tasks. 11(7), 392-400 .
8- Arisha, A., & El Baradie, M. (2002). On the selection of simulation software for manufacturing application.
9- Atoum, I., & Bong, C. H. J. a. p. a. (2015). Measuring software quality in use: state-of-the-art and research challenges.
10- Basson, H., Bouneffa, M., Matsuda, M., Ahmad, A., Chung, D., & Arai, E. (2016). Qualitative evaluation of manufacturing software units interoperability using ISO 25000 quality model. In Enterprise interoperability VII (pp. 199-209): Springer.
11- Boehm, B. W., Brown, J. R., & Lipow, M. (1976). Quantitative evaluation of software quality. Paper presented at the Proceedings of the 2nd international conference on Software engineering.
12- Bombardieri, M., & Fontana, F. A. (2009). Software aging assessment through a specialization of the SQuaRE quality model. Paper presented at the 2009 ICSE Workshop on Software Quality.
13- Budiman, E., Wati, M., Widians, J. A., Puspitasari, N., Firdaus, M., Alameka, F. J. P. o. t. E. E. C. S., & Informatics. (2018). ISO/IEC 9126 Quality Model for Evaluation of Student Academic Portal. 5(5), 78-83.
14- Büyüközkan, G., Ruan, D. J. M., & Simulation, C. i. (2008). Evaluation of software development projects using a fuzzy multi-criteria decision approach. 77(5-6), 464-475.
15- Chen-Yi, H., Ke-Ting, C., & Gwo-Hshiung, T. J. I. J. o. F. S. (2007). FMCDM with Fuzzy DEMATEL Approach for Customers' Choice Behavior Model. 9(4).
16- Chua, B. B., & Dyson, L. E. (2004). Applying the ISO 9126 model to the evaluation of an e-learning system. Paper presented at the Proc. of ASCILITE.
17- Colombo, E., & Francalanci, C. J. R. e. (2004). Selecting CRM packages based on architectural, functional, and cost requirements: Empirical validation of a hierarchical ranking model. 9(3), 186-203.
18- Dromey, R. G. J. I. T. o. s. e. (1995). A model for software product quality. 21(2), 146-162.
19- Ferenc, R., Hegedűs, P., & Gyimóthy, T. (2014). Software product quality models. In Evolving software systems (pp. 65-100): Springer.
20- Fitzpatrick, R. (1996). Software quality: definitions and strategic issues.
21- Foster, T. A. (2017). Budget Planning, Budget Control, Business Age, and Financial Performance in Small Businesses.
22- García, M. V. P., Rodríguez, Y. V., Defensa, X., & Ahmad, M. A. Tools to Support the Assesment of the Quality Characteristics Based on ISO/IEC 25000. (2016).
23- Gediga, G., Hamborg, K.-C., Düntsch, I. J. E. o. c. s., & technology. (2002). Evaluation of software systems. 45(supplement 30), 127-153.
24- Illa, X. B., Franch, X., & Pastor, J. A. (2000). Formalising ERP selection criteria. Paper presented at the Tenth International Workshop on Software Specification and Design. IWSSD-10 2000.
25- Karsak, E. E., & Özogul, C. O. J. E. s. w. A. (2009). An integrated decision making approach for ERP system selection. 36(1), 660-667.
26- Lee, K., & Lee, S. J. (2005). A quantitative software quality evaluation model for the artifacts of component based development. Paper presented at the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Network.
27- Liao, X., Li, Y., & Lu, B. J. I. S. (2007). A model for selecting an ERP system based on linguistic information processing. 32(7), 1005-1017.
28- Lin, H.-Y., Hsu, P.-Y., & Sheen, G.-J. J. E. s. w. a. (2007). A fuzzy-based decision-making procedure for data warehouse system selection. 32(3), 939-953.
29- McCall, J. A., Richards, P. K., & Walters, G. F. (1977). Factors in software quality. volume-iii. preliminary handbook on software quality for an acquisiton manager. Retrieved from
30- Ngai, E. W., & Chan, E. J. E. s. w. a. (2005). Evaluation of knowledge management tools using AHP. 29(4), 889-899.
31- Nikoukaran, J., Hlupic, V., Paul, R. J. J. S. P., & Theory. (1999). A hierarchical framework for evaluating simulation software. 7(3), 219-231.
32- Behboudi asl, M. Rahmani., H, R. Y., Ansari, M., & Mirkazemi, M. M. (2012). Identifying the factors influencing the choice of organizational resource planning systems (ERP) from the perspective of experts. Information Technology Management,4(12), pp.1-22(in persian)
33- Normalización, O. I. d. (2011). ISO-IEC 25010: 2011 Systems and Software Engineering-Systems and Software Quality Requirements and Evaluation (SQuaRE)-System and Software Quality Models: ISO.
34- Ramos, R. C. B., Villagrán, N. V., Yoo, S. G., & Quiña, G. N. (2018). Software Quality Assessment Applied for the Governmental Organizations using ISO/IEC 25000. Paper presented at the 2018 International Conference on eDemocracy & eGovernment (ICEDEG).
35- Tewoldeberhan, T. W., Verbraeck, A., Valentin, E., & Bardonnet, G. (2002). An evaluation and selection methodology for discrete-event simulation software. Paper presented at the Proceedings of the Winter Simulation Conference.
36- Valenti, S., Cucchiarelli, A., & Panti, M. J. J. o. I. T. E. R. (2002). Computer based assessment systems evaluation via the ISO9126 quality model. 1(1), 157-175.
37- Wolski, M., Walter, B., Kupiński, S., Chojnacki, J. J. J. o. S. E., & Process. (2018). Software quality model for a research‐driven organization—An experience report. 30(5), e1911.
38- Zaidan, A., Zaidan, B., Al-Haiqi, A., Kiah, M. L. M., Hussain, M., & Abdulnabi, M. J. J. o. b. i. (2015). Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS. 53, 390-404.