Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation

Lagerström, Robert; Johnson, Pontus; Ekstedt, Mathias

doi:10.1007/s11219-010-9100-0

Cited by 22 publications

(8 citation statements)

References 34 publications

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“…The identified validity factors can be compared with the work of Lagerström et al [27]. An expert panel has been selected within the case organization for performing the validation process.…”

Section: Validation Resultsmentioning

confidence: 99%

Software reuse in agile development organizations

Spoelstra

Iacob

Sinderen

2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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The reuse of knowledge is considered a major factor for increasing productivity and quality. In the software industry knowledge is embodied in software assets such as code components, functional designs and test cases. This kind of knowledge reuse is also referred to as software reuse. Although the benefits can be substantial, software reuse has never reached its full potential. Organizations are not aware of the different levels of reuse or do not know how to address reuse issues. This paper proposes a conceptual management tool for supporting software reuse. Furthermore the paper presents the findings of the application of the management tool in an agile development organization.

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Section: Validation Resultsmentioning

confidence: 99%

Software reuse in agile development organizations

Spoelstra

Iacob

Sinderen

2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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“…Enterprise architecture management needs to consider the impact that changes to an element have to the architecture as a whole. Enterprise architecture metamodels are often used to run different simulations and analyses [22], [23], which requires granular and up-to-date information [24]. Up to date information is critical for the success of enterprise transformation projects [8].…”

Section: Automated and Multi-source Modelingmentioning

confidence: 99%

“…The data in the hybrid database are stored in collections as vertices and edges and can be traversed as a graph 22 . ArangoDB has a built in simple graph visualization interface, which can be used for quick quality control of the stored data and discovering patterns in the data.…”

Section: Databasementioning

confidence: 99%

A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery

Välja

Lagerström

Franke

et al. 2019

J. Complex Syst. Inform. Model. Q.

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Modeling IT architecture is a complex, time consuming, and error prone task. However, many systems produce information that can be used for automating modeling. Early studies show that this is a feasible approach if we can overcome certain obstacles. Often more than one source is needed in order to cover the data requirements of an IT architecture model; and the use of multiple sources means that heterogeneous data needs to be merged. Moreover, the same collection of data might be useful for creating more than one kind of models for decision support. IT architecture is constantly changing and data sources provide information that can deviate from reality to some degree. There can be problems with varying accuracy (e.g. actuality and coverage), representation (e.g. data syntax and file format), or inconsistent semantics. Thus, integration of heterogeneous data from different sources needs to handle data quality problems of the sources. This can be done by using probabilistic models. In the field of truth discovery, these models have been developed to track data source trustworthiness in order to help solving conflicts while making quality issues manageable for automatic modeling. We build upon previous research in modeling automation and propose a framework for merging data from multiple sources with a truth discovery algorithm to create multiple IT architecture models. The usefulness of the proposed framework is demonstrated in a study where models using three tools are created, namely; Archi, securiCAD, and EMFTA.

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“…However, considerable diversity exists, in terms of the primary unit of analysis and terminology adopted by each. For instance, various frameworks focus on i) Stakeholders and Aspects to be considered [34]; ii) Viewpoints and Concerns to be analyzed [1]; and iii) Objects and Attributes to be modeled [35]. This lack of consistency is likely one reason for the limited success reported for EA efforts in studies of practice [36].…”

Section: Enterprise Architecturementioning

confidence: 99%

A Methodology for Operationalizing Enterprise IT Architecture and Evaluating its Modifiability

Lagerström

MacCormack

Dreyfus

et al. 2019

CSIMQ

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Recent contributions to information systems theory suggest that the primary role of a firm's information technology (IT) architecture is to facilitate, and therefore ensure the continued alignment of a firm's IT investments with a constantly changing business environment. Despite the advances we lack robust methods with which to operationalize enterprise IT architecture, in a way that allows us to analyze performance, in terms of the ability to adapt and evolve over time. We develop a methodology for analyzing enterprise IT architecture based on "Design Structure Matrices" (DSMs), which capture the coupling between all components in the architecture. Our method addresses the limitations of prior work, in that it i) captures the architecture "in-use" as opposed to high level plans or conceptual models; ii) identifies discrete layers in the architecture associated with different technologies; iii) reveals the "flow of control" within the architecture; and iv) generates measures that can be used to analyze performance. We apply our methodology to a dataset from a large pharmaceutical firm. We show that measures of coupling derived from an IT architecture DSM predict IT modifiabilitydefined as the cost to change software applications. Specifically, applications that are tightly coupled cost significantly more to change.

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Architecture analysis of enterprise systems modifiability: a metamodel for software change cost estimation

Cited by 22 publications

References 34 publications

Software reuse in agile development organizations

Software reuse in agile development organizations

A Framework for Automatic IT Architecture Modeling: Applying Truth Discovery

A Methodology for Operationalizing Enterprise IT Architecture and Evaluating its Modifiability

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