A validation framework for a maturity measurement model for safety-critical software systems

Vaishnavi, Vijay K.; Fraser, Martin D.

doi:10.1145/275295.275377

“…Because of its greater complexity, CMM-like models often go along with extensive supporting materials like assessment handbooks or benchmarking software. Examples of CMMlike models are found in Vaishnavi and Fraser (1998) and Marshall and Mitchell (2004).…”

Section: Foundation and Criticism On Maturity Modelsmentioning

confidence: 98%

Thinking in Terms of Design Decisions When Developing Maturity Models

Mettler

¹

2010

International Journal of Strategic Decision Sciences

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To measure dedicated aspects of “maturity”, a range of maturity models have been developed in the field of information systems by practitioners and academics over the past years. Despite its broad proliferation, the concept has not escaped criticism. Unnecessary bureaucracy, poor theoretical foundation, and the impression of a falsified certainty to achieve success are a few examples. As there is a significant lack of knowledge on how to design theoretically sound and widely accepted maturity models, in this paper, the author opens the discussion on design decisions when developing these models. Based on analogy and informed arguments, the author synthesizes a generic but adjuvant framework that consists of five common design steps and eighteen decision parameters that help practitioners as well as researchers in the development of maturity models.

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“…Finally, Vaishnavi et al . have published a validation framework for maturity models, which they have used to validate their Formal Specification Strategies Maturity Model. Their framework focuses especially on the requirements for empirical validation of maturity models through application in case studies.…”

Section: Related Workmentioning

confidence: 99%

A review of methods for evaluation of maturity models for process improvement

Helgesson

¹

,

Höst

²

,

Weyns

³

2011

J Software Evolu Process

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SUMMARY Maturity models are widely used in process improvement. The users of a maturity model should be confident that the weak points of the assessed processes can be found, and that the most valuable changes are introduced. Therefore, the evaluation of maturity models is an important activity. In this paper, a mapping study of the literature on the evaluation of maturity models is presented. Two databases are searched resulting in a set of relevant papers. The identified papers can be classified according to six categories, namely the maturity model under evaluation, type of evaluation, relation of the evaluators/authors to the maturity model, level of objectivity, main purpose of the paper, and size of study. Further, a framework of different evaluations of maturity models is developed, and the relevant papers are mapped to the framework. Finally, the relevant research on the evaluation of the maturity models in the Capability Maturity Model family is discussed in more detail. The result of this mapping study is a clear overview of how the evaluation of maturity models has been done, and some discussions are provided for further research on the evaluation of commonly used or newly developed maturity models. Copyright © 2011 John Wiley & Sons, Ltd.

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Thinking in Terms of Design Decisions When Developing Maturity Models

Mettler

¹

Decision Making Theories and Practices From Analysis to Strategy

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To measure dedicated aspects of “maturity”, a range of maturity models have been developed in the field of information systems by practitioners and academics over the past years. Despite its broad proliferation, the concept has not escaped criticism. Unnecessary bureaucracy, poor theoretical foundation, and the impression of a falsified certainty to achieve success are a few examples. As there is a significant lack of knowledge on how to design theoretically sound and widely accepted maturity models, in this paper, the author opens the discussion on design decisions when developing these models. Based on analogy and informed arguments, the author synthesizes a generic but adjuvant framework that consists of five common design steps and eighteen decision parameters that help practitioners as well as researchers in the development of maturity models.

show abstract

A validation framework for a maturity measurement model for safety-critical software systems

Cited by 3 publications

References 27 publications

Thinking in Terms of Design Decisions When Developing Maturity Models

Thinking in Terms of Design Decisions When Developing Maturity Models

A review of methods for evaluation of maturity models for process improvement

Thinking in Terms of Design Decisions When Developing Maturity Models

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