Identifying Quality Factors of Information Systems Integration Design

Zikra, Iyad; Stirna, Jānis; Zdravković, Jelena

doi:10.1007/978-3-319-64930-6_4

Cited by 1 publication

(7 citation statements)

References 36 publications

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“…The methodology extends the ability of the UMM. Furthermore, the methodology is driven by the quality factors proposed in [33] and summarized in Section 4. The UMM enables describing enterprise and IS design knowledge in a holistic manner.…”

Section: Quality-driven Methodology For Integration Designmentioning

confidence: 99%

“…A summary of the framework is presented in this section. A more detailed description can be found in [33].…”

Section: Quality Factors For Integration Designmentioning

confidence: 99%

“… Select the applicable IntegrationModelQualityFactors. The factors may be selected from a preexisting list, or custom created for the project, as discussed in [33].  Assign each factor to the BusinessGoals that Characterize it.…”

Section: Stage 2: Extending and Evolving The Integration Design Modelsmentioning

confidence: 99%

“…The factors "Data Completeness," "Freshness," and "Price" are identified as necessary to measure in the case of Twitter. (cf [33] for a complete discussion on choosing quality factors). The measurements that help evaluate "Freshness" include "time since last changed" and "historical data."…”

Section: Stage 1 Modelsmentioning

confidence: 99%

“…Method chunk A2.3 describes how model quality factors are captured and evaluated. Some of the model quality factors, such as expressiveness [33], are built into the UMM. Other factors, including model completeness and conflict resolution, are managed by using error markers that one graphically highlight problems, e.g.…”

Section: Stage 2 Modelsmentioning

confidence: 99%

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A Quality-Driven Methodology for Information Systems Integration

Zikra

Stirna

Zdravković

2017

CSIMQ

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Abstract. Information systems integration is an essential instrument for organizations to attain advantage in today's growing and fast changing business and technology landscapes. Integration solutions generate added value by combining the functionality and services of heterogeneous and diverse systems. Existing integration environments tend to rely heavily on technical, platformdependent skills. Consequently, the solutions that they enable are not optimally aligned with the envisioned business goals of the organization. Furthermore, the gap between the goals and the solutions complicates the task of evaluating the quality of integration solutions. To address these challenges, we propose a quality-driven, model-driven methodology for designing and developing integration solutions. The methodology spans organizational and systems design details, providing a holistic view of the integration solution and its underlying business goals. A multi-view meta-model provides the basis for the integration design. Quality factors that affect various aspects of the integration solution guide and inform the progress of the methodology. An example business case is presented to demonstrate the application of the methodology.

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Section: Quality-driven Methodology For Integration Designmentioning

confidence: 99%

“…A summary of the framework is presented in this section. A more detailed description can be found in [33].…”

Section: Quality Factors For Integration Designmentioning

confidence: 99%

Section: Stage 2: Extending and Evolving The Integration Design Modelsmentioning

confidence: 99%

Section: Stage 1 Modelsmentioning

confidence: 99%

Section: Stage 2 Modelsmentioning

confidence: 99%