EAI as a Service - Combining the Power of Executable EAI Patterns and SaaS

Scheibler, Thorsten; Mietzner, Ralph; Leymann, Frank

doi:10.1109/edoc.2008.21

Cited by 20 publications

(9 citation statements)

References 6 publications

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“…In this case, the SaaS application must be capable of incorporating extra services via external SaaS providers (Aulkemeier et al, 2016;Sun et al, 2007;Almorsy, Grundy & Ibrahim, 2012;Scheibler, Mietzner & Leymann, 2008). Most SaaS service customers assume that the SaaS application will merge easily with their in-house systems (Müller et al, 2009;Aulkemeier et al, 2016;Sun et al, 2007;Scheibler, Mietzner & Leymann, 2008;Zhang, Liu & Meng, 2009). However, this integration must consider nonfunctional elements, such as security controls, which should be accommodated by the applications architecture (Sun et al, 2007;Almorsy, Grundy & Ibrahim, 2012), at both design time and runtime (Aulkemeier et al, 2016;.…”

Section: Customization Practice Referencesmentioning

confidence: 99%

Development of a valid and reliable software customization model for SaaS quality through iterative method: perspectives from academia

Ali

Sultan

Ghani

et al. 2020

PeerJ Computer Science

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Despite the benefits of standardization, the customization of Software as a Service (SaaS) application is also essential because of the many unique requirements of customers. This study, therefore, focuses on the development of a valid and reliable software customization model for SaaS quality that consists of (1) generic software customization types and a list of common practices for each customization type in the SaaS multi-tenant context, and (2) key quality attributes of SaaS applications associated with customization. The study was divided into three phases: the conceptualization of the model, analysis of its validity using SaaS academic-derived expertise, and evaluation of its reliability by submitting it to an internal consistency reliability test conducted by software-engineer researchers. The model was initially devised based on six customization approaches, 46 customization practices, and 13 quality attributes in the SaaS multi-tenant context. Subsequently, its content was validated over two rounds of testing after which one approach and 14 practices were removed and 20 practices were reformulated. The internal consistency reliability study was thereafter conducted by 34 software engineer researchers. All constructs of the content-validated model were found to be reliable in this study. The final version of the model consists of 6 constructs and 44 items. These six constructs and their associated items are as follows: (1) Configuration (eight items), (2) Composition (four items), (3) Extension (six items), 4) Integration (eight items), (5) Modification (five items), and (6) SaaS quality (13 items). The results of the study may contribute to enhancing the capability of empirically analyzing the impact of software customization on SaaS quality by benefiting from all resultant constructs and items.

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Section: Customization Practice Referencesmentioning

confidence: 99%

Development of a valid and reliable software customization model for SaaS quality through iterative method: perspectives from academia

Ali

Sultan

Ghani

et al. 2020

PeerJ Computer Science

View full text Add to dashboard Cite

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“…In the academia, Fujun et al [4] described the new serviceoriented data integration architecture (SODIA) to deal with dynamic discovery of data sources. Scheibler et al [13] proposed EAI as a Service as a flexible, customizable and inexpensive way to tackle EAI problems not only of onpremise software but also of applications run in a SaaS model. To adapt dissimilar cloud scenarios, an efficient strategy for the integration of cloud-based applications was proposed by Kolluru and Mantha [14].…”

Section: Related Workmentioning

confidence: 99%

Data Organization Patterns for Cloud Enterprise Applications

Wei¹,

Wu²,

Liu³

et al. 2014

2014 Asia-Pacific Services Computing Conference

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With the popularity of cloud computing and SaaS, enterprises are willing to rent various cloud services and use them in their daily work. However, on-premise applications are still widely used inside enterprises. That is to say, to achieve the goal of business collaboration, a cloud service usually need to obtain business data from multiple sources, which include the relevant on-premise applications and other cloud services. In this paper, we study and summarize data organization and management patterns for cloud enterprise applications from different aspects. Based on these patterns, we propose an innovative cloud-based data organization model (CEDM). Compared with traditional ones, it highlights the characters of resource sharing and reuse. Besides, this model is more convenient for tackling complex data synchronization issues in cloud environment.

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“…Some other works such as [6][11] [12] also adopt the SOA and Web services, there have same shortcomings such as wide knowledge required, high complexity of interface and high cost for support comparing with the proposed SaaSified approach.…”

Section: Related Workmentioning

confidence: 99%

Applying SaaS architecture to large enterprises for Enterprise Application Integration

Zhu

Chen

Song

et al. 2010

The 2nd International Conference on Information Science and Engineering

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SaaS (Software-as-a-Service) has gained an increasing momentum, and it is being adopted at a very fast pace. But SaaS is widely considered that it's not suitable for Large and Medium-size Enterprises (LME), meanwhile Enterprise Application Integration (EAI) is the key issue in LME, traditional SOA based EAI approaches have some shortcomings. In this paper, we propose that SaaS can be well used in LME for EAI. Based on this, we propose SaaSified approach which re-architects one analog of legacy applications to SaaS architecture, makes the rest applications can be configured, further solves the EAI problem in LME. We update the SaaS maturity model to evaluate the SaaSified approach.

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EAI as a Service - Combining the Power of Executable EAI Patterns and SaaS

Cited by 20 publications

References 6 publications

Development of a valid and reliable software customization model for SaaS quality through iterative method: perspectives from academia

Development of a valid and reliable software customization model for SaaS quality through iterative method: perspectives from academia

Data Organization Patterns for Cloud Enterprise Applications

Applying SaaS architecture to large enterprises for Enterprise Application Integration

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