Sequence diagrams define functional requirements through use cases. However, their visual form limits their usability in the later stages of the development life cycle. This work proposes a method to transform sequence diagrams into graph-based event sequence graphs, allowing the application of graph analysis methods and defining graph-based coverage criteria. This work explores these newfound abilities in two directions. The first is to use coverage criteria along with existing tests to measure their coverage levels, providing a metric of how well they address the scenarios defined in sequence diagrams. The second is to use coverage criteria to automatically generate effective and efficient acceptance test cases based on the scenarios defined in sequence diagrams. The transformation method is validated with over eighty non-trivial projects. The complete method is validated through a non-trivial example. The results show that the test cases generated with the proposed method are more effective at exposing faults and more efficient in test input size than user-generated test cases.
{"title":"Automatic Test Sequence Generation and Functional Coverage Measurement From UML Sequence Diagrams","authors":"Nazım Umut Ekici, Tugkan Tuglular","doi":"10.4018/ijismd.332865","DOIUrl":"https://doi.org/10.4018/ijismd.332865","url":null,"abstract":"Sequence diagrams define functional requirements through use cases. However, their visual form limits their usability in the later stages of the development life cycle. This work proposes a method to transform sequence diagrams into graph-based event sequence graphs, allowing the application of graph analysis methods and defining graph-based coverage criteria. This work explores these newfound abilities in two directions. The first is to use coverage criteria along with existing tests to measure their coverage levels, providing a metric of how well they address the scenarios defined in sequence diagrams. The second is to use coverage criteria to automatically generate effective and efficient acceptance test cases based on the scenarios defined in sequence diagrams. The transformation method is validated with over eighty non-trivial projects. The complete method is validated through a non-trivial example. The results show that the test cases generated with the proposed method are more effective at exposing faults and more efficient in test input size than user-generated test cases.","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"114 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136234980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shi-Yao She, Fang-Fang Yuan, Jun-Ke Li, Hong-Wei Dai
Material demand forecasting has a profound impact on the supply chain and is an important prerequisite for manufacturing enterprises to produce. In order to accurately predict the material demand of enterprises, this paper proposes a material demand forecasting algorithm based on multi-dimensional feature fusion (DFMF). Secondly, in order to obtain the spatial features, the vector representation of the relevant materials of a material is obtained through the attention mechanism. Then, the authors aggregate the relevant material representation and material vector representation of materials to obtain the final material vector representation through aggregation function. Then the final material vector representation under different time scales is used as input, and the prediction value of material demand is obtained by using BP neural network. Finally, experiments show that the model can effectively obtain multi-dimensional features of materials for prediction, and the prediction results have high accuracy.
{"title":"Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion","authors":"Shi-Yao She, Fang-Fang Yuan, Jun-Ke Li, Hong-Wei Dai","doi":"10.4018/ijismd.330137","DOIUrl":"https://doi.org/10.4018/ijismd.330137","url":null,"abstract":"Material demand forecasting has a profound impact on the supply chain and is an important prerequisite for manufacturing enterprises to produce. In order to accurately predict the material demand of enterprises, this paper proposes a material demand forecasting algorithm based on multi-dimensional feature fusion (DFMF). Secondly, in order to obtain the spatial features, the vector representation of the relevant materials of a material is obtained through the attention mechanism. Then, the authors aggregate the relevant material representation and material vector representation of materials to obtain the final material vector representation through aggregation function. Then the final material vector representation under different time scales is used as input, and the prediction value of material demand is obtained by using BP neural network. Finally, experiments show that the model can effectively obtain multi-dimensional features of materials for prediction, and the prediction results have high accuracy.","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135879339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"VORDi*: A Combined Approach for Requirements Engineering of Software as a Service","authors":"Farida Kherissi","doi":"10.4018/ijismd.288553","DOIUrl":"https://doi.org/10.4018/ijismd.288553","url":null,"abstract":"","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"12 1","pages":"1-20"},"PeriodicalIF":1.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70459020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-04-01DOI: 10.4018/ijismd.2019040101
Samir Sellami, T. Dkaki, N. Zarour, Pierre-Jean Charrel
The web diversification into the Web of Data and social media means that companies need to gather all the necessary data to help make the best-informed market decisions. However, data providers on the web publish data in various data models and may equip it with different search capabilities, thus requiring data integration techniques to access them. This work explores the current challenges in this area, discusses the limitations of some existing integration tools, and addresses them by proposing a semantic mediator-based approach to virtually integrate enterprise data with large-scale social and linked data. The implementation of the proposed approach is a configurable middleware application and a user-friendly keyword search interface that retrieves its input from internal enterprise data combined with various SPARQL endpoints and Web APIs. An evaluation study was conducted to compare its features with recent integration approaches. The results illustrate the added value and usability of the contributed approach.
{"title":"MidSemI","authors":"Samir Sellami, T. Dkaki, N. Zarour, Pierre-Jean Charrel","doi":"10.4018/ijismd.2019040101","DOIUrl":"https://doi.org/10.4018/ijismd.2019040101","url":null,"abstract":"The web diversification into the Web of Data and social media means that companies need to gather all the necessary data to help make the best-informed market decisions. However, data providers on the web publish data in various data models and may equip it with different search capabilities, thus requiring data integration techniques to access them. This work explores the current challenges in this area, discusses the limitations of some existing integration tools, and addresses them by proposing a semantic mediator-based approach to virtually integrate enterprise data with large-scale social and linked data. The implementation of the proposed approach is a configurable middleware application and a user-friendly keyword search interface that retrieves its input from internal enterprise data combined with various SPARQL endpoints and Web APIs. An evaluation study was conducted to compare its features with recent integration approaches. The results illustrate the added value and usability of the contributed approach.","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84488204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.4018/IJISMD.2018100105
Cerene Mariam Abraham, M. Elayidom, T. Santhanakrishnan
Studies have shown that requirement defects are among the major sources of failure constituting 32.65%. It is one of the overlooked aspects in requirements engineering and is generally considered as a potential problem that can affect the projects in a negative way. The main objective of this article is to propose a risk-based effort estimation technique that identifies, analyzes, and classifies risk at requirement engineering phase to restrain them from propagating to the later stages of the project lifecycle. This article extends the scope by integrating both threats and opportunities and their further classification based on extensive requirement analysis. The validation of the proposed approach was conducted on successfully delivered real project data. A survey is also conducted as a part of qualitative analysis for analyzing the applicability of the proposed approach. The results of the proposed method are promising and strongly support findings of literature stating that the effort needed to fix issues at a later stage in project lifecycle are costly as compared to early stages.
{"title":"Towards Risk Based Effort Estimation","authors":"Cerene Mariam Abraham, M. Elayidom, T. Santhanakrishnan","doi":"10.4018/IJISMD.2018100105","DOIUrl":"https://doi.org/10.4018/IJISMD.2018100105","url":null,"abstract":"Studies have shown that requirement defects are among the major sources of failure constituting 32.65%. It is one of the overlooked aspects in requirements engineering and is generally considered as a potential problem that can affect the projects in a negative way. The main objective of this article is to propose a risk-based effort estimation technique that identifies, analyzes, and classifies risk at requirement engineering phase to restrain them from propagating to the later stages of the project lifecycle. This article extends the scope by integrating both threats and opportunities and their further classification based on extensive requirement analysis. The validation of the proposed approach was conducted on successfully delivered real project data. A survey is also conducted as a part of qualitative analysis for analyzing the applicability of the proposed approach. The results of the proposed method are promising and strongly support findings of literature stating that the effort needed to fix issues at a later stage in project lifecycle are costly as compared to early stages.","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46924417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-04-01DOI: 10.4018/IJISMD.2018040103
Boukhedouma Saida, Alimazighi Zaia
{"title":"An Approach Based on Hierarchical Petri Nets for the Verification of Interconnected BPEL Processes","authors":"Boukhedouma Saida, Alimazighi Zaia","doi":"10.4018/IJISMD.2018040103","DOIUrl":"https://doi.org/10.4018/IJISMD.2018040103","url":null,"abstract":"","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"28 1","pages":"44-78"},"PeriodicalIF":1.2,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90977360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2011-01-01DOI: 10.4018/jismd.2012010101
J. J. Arachchige, H. Weigand, M. Jeusfeld
Service-oriented architectures are the upcoming business standard for realizing enterprise information systems, thus creating a need for analysis and design methods that are truly service-oriented. Most research on this topic so far takes a strict software engineering perspective. For a proper alignment between the business and the IT, a service perspective at the business level is needed as well. Using an MDA approach, this paper introduces a new business service and resource modeling language-BSRM, based on the REA business ontology. Coordination services are identified as boundary objects between the conceptual and operational level. A meta-modeling approach is used to map the service modeling language with complimentary models, in particular value network e3value, data model ER and process models BPMN.
{"title":"Business Service Modeling for the Service-Oriented Enterprise","authors":"J. J. Arachchige, H. Weigand, M. Jeusfeld","doi":"10.4018/jismd.2012010101","DOIUrl":"https://doi.org/10.4018/jismd.2012010101","url":null,"abstract":"Service-oriented architectures are the upcoming business standard for realizing enterprise information systems, thus creating a need for analysis and design methods that are truly service-oriented. Most research on this topic so far takes a strict software engineering perspective. For a proper alignment between the business and the IT, a service perspective at the business level is needed as well. Using an MDA approach, this paper introduces a new business service and resource modeling language-BSRM, based on the REA business ontology. Coordination services are identified as boundary objects between the conceptual and operational level. A meta-modeling approach is used to map the service modeling language with complimentary models, in particular value network e3value, data model ER and process models BPMN.","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"25 1","pages":"61-62"},"PeriodicalIF":1.2,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90688868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"International Journal of Information System Modeling and Design","authors":"","doi":"10.4018/ijismd","DOIUrl":"https://doi.org/10.4018/ijismd","url":null,"abstract":"","PeriodicalId":42831,"journal":{"name":"International Journal of Information System Modeling and Design","volume":"1 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70458315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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