Domain Specific Modelling Language of PIM for OSSS on Infrastructure Cloud Service Model

Aslam, Mubeen; Rahim, Lukman Ab.; Hashmani, Manzoor Ahmed; Watada, Junzo

doi:10.1109/iccoins.2018.8510591

Cited by 3 publications

(7 citation statements)

References 15 publications

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“…Values in Tables 3 and 4 mapped in the CA plot presented the association among four major areas. The areas are (1, 8), (7, 6, 2), (5,3,12), and (9,4,11,10). If we match these areas with our proposed clusters, the result is the same.…”

Section: Resultsmentioning

confidence: 99%

“…19 The benefits of cloud computing prompt the migration of legacy systems to a cloud environment. 5,23 Service-oriented environments aid in improving the ability to migrate a legacy system as a service in a service-oriented architecture (SOA). The service migration and reuse technique (SMART) can be used to migrate legacy systems efficiently to software as a service (SaaS) by following the revised methodology and using a unified model language (UML).…”

Section: Related Workmentioning

confidence: 99%

“…Modernization is a complex task and always requires careful planning and concentration. 4,5 Cloud migration 6,7 may have positive as well as negative consequences. Unexpected cost, interoperability, security, 8 network, and performance uncertainty issues 9 may cause significant complications.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cloud migration framework clustering method for social decision support in modernizing the legacy system

Aslam,

Rahim,

Watada

et al. 2023

Trans Emerging Tel Tech

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Cloud solutions accelerate the large‐scale acceptance of IoT projects. By diminishing the need for maintaining on‐premises infrastructure, the cloud has enabled corporations to surpass the traditional applications of IoT (e.g., in‐home appliances) and opened the doors for large‐scale deployment of IoT applications on the cloud. However, shifting legacy systems to the cloud environment can be considerably difficult. Accordingly, this article proposes a method that may support organizations in deciding to modernize their legacy systems. The main concept of this study is to discuss the modernization strategies in detail and to support organizations in selecting the most accurate and appropriate cloud migration strategy, based on their requirements of the legacy system. This article introduces a novel research process, called the K‐means cosine cloud clustering method (K3CM). K3CM is a statistical knowledge‐based method for identifying and clustering the most relevant and similar cloud migration strategies. The quality of a cluster is evaluated by measuring intra‐cohesiveness. Simulation experiments statistically analyzed, evaluated, and verified the quality of K3CM clusters. Correspondence analysis explored the similarity and relationship among cloud migration frameworks and validated the proposed technique. The statistical and simulation results of this study focus on the analytics and decision support system implementation that provides a reliable, valid, and robust clustering method for modernizing the legacy system.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Cloud migration framework clustering method for social decision support in modernizing the legacy system

Aslam,

Rahim,

Watada

et al. 2023

Trans Emerging Tel Tech

Self Cite

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show abstract

“…A Domain-Specific Modelling Language (DSML) represents the behavior, structure, and requirements of a specific class of domains or problems [1]- [3]. One of the advantages of using a DSML is its ability to enable the reuse of models and to help developers in reducing programming efforts as well as development time [4].…”

Section: Introductionmentioning

confidence: 99%

“…Ju et al [3] investigate the most suitable game genre for educational games, and they concluded that adventure is the best game genre for educational games. There are several important concepts in the educational adventure game [26]- [29] such as Players, Characters, Story, Narrative, Game Rules, Game World, Plot, Scenes, Theme, Objects, Goal, Feedback, Practice, Text, Graphics, and Sound, Animation, User Interface, Interaction, Exploration, Problem Solving, Reward, Guidance, and Learning Theory.…”

Section: Introductionmentioning

confidence: 99%

A Domain-Specific Modelling Language for Adventure Educational Games and Flow Theory

Zahari¹,

Rahim²,

Nurhadi³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Designing educational games is a complex task and needs collaboration between game developers and an educator. Domain-Specific Modeling Language (DSML) offers an approach to simplify the design activities of educational games and support the involvement of both game developers and educators. This paper presents an extension of Serious Game Logic and Structure Modeling Language (GLiSMo), a DSML that designs the logical and structural views of educational adventure games. The gap in the original GLiSMo is that it did not allow an educational game to be designed according to any learning theories. Furthermore, the original GLiSMo does not cover all concepts in the adventure genre. The authors intend to extend the original GLiSMo by adding the concepts of Flow Theory and concepts of the adventure genre to make it more expressive. The extended DSML is called FA-GLiSMo. The authors evaluated the expressiveness of FA-GLiSMo using Framework for Qualitative Assessment of DSLs (FQAD). The result shows that the expressiveness of FA-GLiSMo is still 'incomplete' due to the lack of clarity of semantics for several domain concepts. Improvements were performed, and the finalized FA-GLiSMo now has fifteen (15) concepts of the Logic diagram, nineteen (19) concepts of the Structure diagram, and a new diagram called the Flow diagram containing five (5) concepts of the Flow Theory. The authors also demonstrate in this paper the concrete syntax of FA-GLiSMo using the Tales of Monkey Island game as a case study.

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Statistical Comparison of Architecture Driven Modernization with other Cloud Migration Frameworks and Formation of Clusters

Aslam¹,

Rahim²,

Hashmani³

et al. 2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Corporations are migrating their legacy software systems towards the cloud environment for amelioration, to avail benefits of the cloud. Long term success of modernizing a legacy software depends on the characteristics of the chosen cloud migration approach. Organizations must think over how strategically imperative is the chosen cloud migration framework to their business? Thus, the Object Management Group (OMG) has defined standards for the modernization process based on Architecture Driven Modernization (ADM) framework. ADM serves as a vehicle for facilitating the arrangement of information technology with business stratagem and its architecture. Until now, it seems that there is no systematic mapping among ADM and other cloud migration frameworks, highlighting the demanding features. This research aims to give an in-depth study of similar cloud migration frameworks. Thus, the researchers introduced the clusters containing cloud migration frameworks having similar features to ADM. This systematic mapping can be seen as a valuable asset for those who are interested in choosing the best migration framework from the pool of cloud modernization frameworks, according to their legacy software requirements. The clustering technique is used to appraise and compare ADM with some of the other cloud migration frameworks for highlighting the similarities and key differences. The quality of clusters is evaluated by the Rand index and Silhouette measurements. The study distills the record and yields a sound and healthy catalog for essential events and concerns that are communal in cloud migration frameworks. This research offers the one-stop-shop convenience that the industry desperately desires.

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Domain Specific Modelling Language of PIM for OSSS on Infrastructure Cloud Service Model

Cited by 3 publications

References 15 publications

Cloud migration framework clustering method for social decision support in modernizing the legacy system

Cloud migration framework clustering method for social decision support in modernizing the legacy system

A Domain-Specific Modelling Language for Adventure Educational Games and Flow Theory

Statistical Comparison of Architecture Driven Modernization with other Cloud Migration Frameworks and Formation of Clusters

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