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Khoshnevis, Sedigheh, Rahmanpour, Ehsan, Koohestani, Farnaz. (1403). CIAOERP: A Method for Change Impact Analysis and Search-Based Decision Optimization in Cloud ERP Systems Using Feature Forests. , 11(2), 13-40. doi: 10.22108/jcs.2024.141074.1142
Sedigheh Khoshnevis; Ehsan Rahmanpour; Farnaz Koohestani. "CIAOERP: A Method for Change Impact Analysis and Search-Based Decision Optimization in Cloud ERP Systems Using Feature Forests". , 11, 2, 1403, 13-40. doi: 10.22108/jcs.2024.141074.1142
Khoshnevis, Sedigheh, Rahmanpour, Ehsan, Koohestani, Farnaz. (1403). 'CIAOERP: A Method for Change Impact Analysis and Search-Based Decision Optimization in Cloud ERP Systems Using Feature Forests', , 11(2), pp. 13-40. doi: 10.22108/jcs.2024.141074.1142
Khoshnevis, Sedigheh, Rahmanpour, Ehsan, Koohestani, Farnaz. CIAOERP: A Method for Change Impact Analysis and Search-Based Decision Optimization in Cloud ERP Systems Using Feature Forests. , 1403; 11(2): 13-40. doi: 10.22108/jcs.2024.141074.1142

CIAOERP: A Method for Change Impact Analysis and Search-Based Decision Optimization in Cloud ERP Systems Using Feature Forests

Journal of Computing and Security
دوره 11، شماره 2، آذر 2024، صفحه 13-40    اصل مقاله (5.76 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22108/jcs.2024.141074.1142
نویسندگان
Sedigheh Khoshnevis* 1؛ Ehsan Rahmanpour1؛ Farnaz Koohestani2
1Department of Computer Engineering, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran.
2Department of Computer Engineering, Malard Branch, Islamic Azad University, Tehran, Iran.
چکیده
Compared with on-premise ERPs, change management is a more serious challenge in cloud ERPs, since changes in an element affect not only other elements but also multiple instances and tenants. Therefore, to make proper decisions, we need a change impact analysis (CIA) method to analyze the way changes are propagated, the affected elements, and the costs imposed. Introducing the concept of feature forest, from multi-software product line engineering, this article addresses how to analyze the impact of changes of “configuration” type in single- and multi-tenant cloud ERPs. Moreover, we propose a multi-objective non-dominated deterministic search algorithm to decide on realizing the changes aiming at minimal change costs. We validated the method by carrying out an empirical experiment following the GQM approach on three real-world cloud ERPs. The evaluation results indicate a decrease of costs of about 33% by the method against the average costs of all possible decisions. Moreover, compared with participants, while showing about 67% similarity, we observed an improvement of about 48% in the costs of decisions.
کلیدواژه‌ها
Cloud ERP؛ Change Impact Analysis؛ Multi Software Product Line؛ Feature Forest؛ Search-Based Optimization
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مراجع
[1] Mukti, Suraj Kumar and Tripathi, Priyanka and Rawani, AM. Identification of factors and indicators for success measurement of ERP system. International Proceedings of Economics Development and Research. 75: 117, IACSIT Press. 2014. [DOI ]
[2] Wright, Daphne Rebecca. User Training and Change Management Synergy: Keys to ERP Success in SMEs. Frontiers in Management Science. 2(6): 38--46, 2023. [DOI ]
[3] Frazee, Kirk and Khan, M Riaz. ERP implementation for corporate growth and sustainability. International Journal of Business and Social Science. 3(3): Centre for Promoting Ideas, USA. 2012. [DOI ]
[4] Ola Aulesjord, Olsen and Haaland, Erik and Hustad, Eli. Managing Change in ERP implementation: Lessons Learned From an SME Context. 2022.
[5] Mijac, Marko and Picek, Ruben and Stapic, Zlatko. Cloud ERP system customization challenges. Central European Conference on Information and Intelligent Systems. 132, 2013.
[6] Mansuri, M.F. and Chavada, H.J. and Garg, A.. Study On Managing Change in the ERP Implementation. International Research Journal of Modernization in Engineering Technology and Science. 5: 36--38, 2023.
[7] Khoshnevis, Sedigheh. A search-based identification of variable microservices for enterprise SaaS. Frontiers of Computer Science. 17(3): 173208, Springer. 2023. [DOI ]
[8] Haaland, Erik and Olsen, Ola Aulesjord. Managing change in ERP implementation projects: A case study in an SME context. 2020. [DOI ]
[9] Parthasarathy, Sudhaman and Sharma, Srinarayan. Efficiency analysis of ERP packages—A customization perspective. Computers in Industry. 82: 19--27, Elsevier. 2016. [DOI ]
[10] Parthasarathy, Sudhaman and Sharma, Srinarayan. Impact of customization over software quality in ERP projects: an empirical study. Software Quality Journal. 25: 581--598, Springer. 2017. [DOI ]
[11] Gronwald, Klaus-Dieter and Gronwald, Klaus-Dieter. ERP: Enterprise Resource Planning. Integrated Business Information Systems: A Holistic View of the Linked Business Process Chain ERP-SCM-CRM-BI-Big Data. 59--86, Springer. 2017. [DOI ]
[12] Al-Shardan, Mona Misfer and Ziani, Djamal. Configuration as a service in multi-tenant enterprise resource planning system. Lecture Notes on Software Engineering. 3(2): 95, IACSIT Press. 2015. [DOI ]
[13] Mietzner, Ralph and Metzger, Andreas and Leymann, Frank and Pohl, Klaus. Variability modeling to support customization and deployment of multi-tenant-aware software as a service applications. 2009 ICSE Workshop on Principles of Engineering Service Oriented Systems. 18--25, 2009. [DOI ]
[14] Mietzner, Ralph and Unger, Tobias and Titze, Robert and Leymann, Frank. Combining different multi-tenancy patterns in service-oriented applications. 2009 IEEE International Enterprise Distributed Object Computing Conference. 131--140, 2009. [DOI ]
[15] Bezemer, Cor-Paul and Zaidman, Andy. Multi-tenant SaaS applications: maintenance dream or nightmare?. Proceedings of the joint ercim workshop on software evolution (evol) and international workshop on principles of software evolution (iwpse). 88--92, 2010. [DOI ]
[16] Parthasarathy, Sudhaman and Sharma, Srinarayan. Determining ERP customization choices using nominal group technique and analytical hierarchy process. Computers in Industry. 65(6): 1009--1017, Elsevier. 2014. [DOI ]
[17] Light, Ben. The maintenance implications of the customization of ERP software. Journal of software maintenance and evolution: research and practice. 13(6): 415--429, Wiley Online Library. 2001. [DOI ]
[18] Davis, Ashley. ERP customization impacts on strategic alignment and system agility. Southern Association of Information Systems Conference. 25--26, 2005.
[19] Isomaki, Teemu. Implementation process challenges of enterprise resource planning systems. 2024.
[20] Jegadeesan, Harshavardhan and Balasubramaniam, Sundar. A method to support variability of enterprise services on the cloud. 2009 IEEE International Conference on Cloud Computing. 117--124, 2009. [DOI ]
[21] Clements, Paul and Northrop, Linda. Software product lines. Addison-Wesley Boston. 2002.
[22] Boskovic, Marko and Mussbacher, Gunter and Bagheri, Ebrahim and Amyot, Daniel and Gasevic, Dragan and Hatala, Marek. Aspect-oriented feature models. Models in Software Engineering: Workshops and Symposia at MODELS 2010, Oslo, Norway, October 2-8, 2010, Reports and Revised Selected Papers 13. 110--124, 2011. [DOI ]
[23] Nesic, Damir and Kruger, Jacob and Stanciulescu, Ștefan and Berger, Thorsten. Principles of feature modeling. Proceedings of the 2019 27th ACM joint meeting on european software engineering conference and symposium on the foundations of software engineering. 62--73, 2019. [DOI ]
[24] Czarnecki, Krzysztof and Kim, Chang Hwan Peter. Cardinality-based feature modeling and constraints: A progress report. International Workshop on Software Factories. 16--20, 2005.
[25] Lienhardt, Michael and Damiani, Ferruccio and Donetti, Simone and Paolini, Luca. Multi software product lines in the wild. Proceedings of the 12th International Workshop on Variability Modelling of Software-Intensive Systems. 89--96, 2018. [DOI ]
[26] Schroter, Reimar and Thum, Thomas and Siegmund, Norbert and Saake, Gunter. Automated analysis of dependent feature models. Proceedings of the 7th International Workshop on Variability Modelling of Software-Intensive Systems. 1--5, 2013. [DOI ]
[27] Schroter, Reimar and Siegmund, Norbert and Thum, Thomas. Towards modular analysis of multi product lines. Proceedings of the 17th International Software Product Line Conference Co-located Workshops. 96--99, 2013. [DOI ]
[28] Holl, Gerald and Grunbacher, Paul and Rabiser, Rick. A systematic review and an expert survey on capabilities supporting multi product lines. Information and Software Technology. 54(8): 828--852, Elsevier. 2012. [DOI ]
[29] Abbas, Asad and Siddiqui, Isma Fara and Lee, Scott Uk-Jin. Feature Modeling with Multi-Software Product Line of IoT Protocols. Korea Computer Information Society Academic Presentation Papers. 25(1): 79--82, 2017.
[30] Dhungana, Deepak and Seichter, Dominik and Botterweck, Goetz and Rabiser, Rick and Grunbacher, Paul and Benavides, David and Galindo, Jose A. Configuration of multi product lines by bridging heterogeneous variability modeling approaches. 2011 15th international software product line conference. 120--129, 2011. [DOI ]
[31] Damiani, Ferruccio and Lienhardt, Michael and Paolini, Luca. A formal model for multi SPLs. Fundamentals of Software Engineering: 7th International Conference, FSEN 2017, Tehran, Iran, April 26--28, 2017, Revised Selected Papers 7. 67--83, 2017. [DOI ]
[32] Schroter, Reimar. Using multi-level interfaces to improve analyses of multi product lines. Universitats-und Landesbibliothek Sachsen-Anhalt. 2014.
[33] Schroer, Christoph. Towards microservice identification approaches for architecting data science workflows. Procedia Computer Science. 181: 519--525, Elsevier. 2021. [DOI ]
[34] Khoshnevis, Sedigheh and Shams, Fereidoon. Automating identification of services and their variability for product lines using NSGA-II. Frontiers of Computer Science. 11: 444--464, Springer. 2017. [DOI ]
[35] Khoshnevis, Sedigheh and Shams, Fereidoon. Linear Evolution of Domain Architecture in Service-Oriented Software Product Lines. Fundamentals of Software Engineering: 6th International Conference, FSEN 2015, Tehran, Iran, April 22-24, 2015. Revised Selected Papers. 275--291, 2015. [DOI ]
[36] Deb, Kalyanmoy and Pratap, Amrit and Agarwal, Sameer and Meyarivan, TAMT. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation. 6(2): 182--197, IEEE. 2002. [DOI ]
[37] Van Solingen, Rini and Basili, Vic and Caldiera, Gianluigi and Rombach, H. Dieter. Goal question metric (gqm) approach. Encyclopedia of software engineering. Wiley Online Library. 2002. [DOI ]
[38] Fleiss, Joseph L. and Levin, Bruce and Paik, Myunghee Cho and others. The measurement of interrater agreement. Statistical methods for rates and proportions. 2(212-236): 22--23, Citeseer. 1981.
[39] Batalla Martinez, Sergi and Kohlbacher, Herbert. ERP lifecycle main indicators and guidelines to determine a change of ERP provider. Proceedings of the 2022 8th International Conference on Computer Technology Applications. 230--235, 2022. [DOI ]
[40] Kulschbach, Andreas and Schuh, Gunther and Stich, Volker. Transformation Of Change Requests Into IT-Modules of ERP-and ME-Systems. Proceedings of the Conference on Production Systems and Logistics: CPSL 2021. 118--125, 2021. [DOI ]
[41] Ghebreselassie, Meron Yonas and Hammen, Henrik. A Study of Change Management and IT Architecture in Cloud Migration Projects. 2024.
[42] Luo, Wenhong and Strong, Diane M. A framework for evaluating ERP implementation choices. IEEE transactions on Engineering Management. 51(3): 322--333, IEEE. 2004. [DOI ]
[43] Suryanto, Agustinus Dimas Angga and Lekkerkerk, LJ and Helder, E. Changeability of ERP Systems. 2018.
[44] Sharma, Arun and Grover, Pritam S and Kumar, Rajesh. Reusability assessment for software components. ACM SIGSOFT Software engineering notes. 34(2): 1--6, ACM New York, NY, USA. 2009. [DOI ]
[45] Sharma, Vidushi and Baliyan, Prachi. Maintainability analysis of component based systems. International Journal of Software Engineering and Its Applications. 5(3): 107--118, 2011.
[46] Parhizkar, Minou and Comuzzi, Marco. An AHP-Based analysis of the Cost of ERP Modification. 2015 International Conference on Enterprise Systems (ES). 200--205, 2015. [DOI ]
[47] Parhizkar, Minou and Comuzzi, Marco. A framework for impact analysis of post-implementation enterprise resource planning modifications. 2016 SAI Computing Conference (SAI). 706--714, 2016. [DOI ]
[48] Parhizkar, Minou and Comuzzi, Marco. Impact analysis of ERP post-implementation modifications: Design, tool support and evaluation. Computers in Industry. 84: 25--38, Elsevier. 2017. [DOI ]
[49] Dor, Nurit and Lev-Ami, Tal and Litvak, Shay and Sagiv, Mooly and Weiss, Dror. Customization change impact analysis for ERP professionals via program slicing. Proceedings of the 2008 international symposium on Software testing and analysis. 97--108, 2008. [DOI ]
[50] Ziani, Djamal. Configuration in ERP SaaS multi-tenancy. arXiv preprint arXiv:1405.0650. 2014.
[51] Nowak, Dawid and Kurbel, Karl. Understanding the flexibility of cloud ERP software. Innovations in Enterprise Information Systems Management and Engineering: 5th International Conference, ERP Future 2016-Research, Hagenberg, Austria, November 14, 2016, Revised Papers 5. 135--146, 2017. [DOI ]
[52] Uppstrom, Elin and Lonn, Carl-Mikael and Hoffsten, Madeleine and Thorstrom, Joakim. New implications for customization of ERP systems. 2015 48th Hawaii International Conference on System Sciences. 4220--4229, 2015. [DOI ]
[53] Van der Borg, F.R.(Freek) and Eshuis, H. and Kusters, R.J.. Customization in Cloud-Based Enterprise Resource Planning Systems. Eindhoven U of Technology. 2017.
[54] Ali, Abdulrazzaq Qasem and Sultan, Abu Bakar Md and Ghani, Abdul Azim Abd and Zulzalil, Hazura. Empirical studies on the impact of software customization on quality attributes: A systematic review. Journal of Theoretical and Applied Information Technology. 97(6): 1747--1763, 2019.
[55] Valderas, Pedro and Torres, Victoria and Pelechano, Vicente. A microservice composition approach based on the choreography of BPMN fragments. Information and Software Technology. 127: 106370, Elsevier. 2020. [DOI ]
[56] Wohlin, Claes and Runeson, Per and Host, Martin and Ohlsson, Magnus C and Regnell, Bjorn and Wesslen, Anders and others. Experimentation in software engineering. 236: Springer. 2012. [DOI ]
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