Examining the Quality of Evaluation Frameworks and Metamodeling Paradigms of Information Systems Development Methodologies

Examining the Quality of Evaluation Frameworks and Metamodeling Paradigms of Information Systems Development Methodologies

Eleni Berki
ISBN13: 9781605662787|ISBN10: 160566278X|EISBN13: 9781605662794
DOI: 10.4018/978-1-60566-278-7.ch015
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MLA

Berki, Eleni. "Examining the Quality of Evaluation Frameworks and Metamodeling Paradigms of Information Systems Development Methodologies." Innovations in Information Systems Modeling: Methods and Best Practices, edited by Terry Halpin, et al., IGI Global, 2009, pp. 297-314. https://doi.org/10.4018/978-1-60566-278-7.ch015

APA

Berki, E. (2009). Examining the Quality of Evaluation Frameworks and Metamodeling Paradigms of Information Systems Development Methodologies. In T. Halpin, J. Krogstie, & E. Proper (Eds.), Innovations in Information Systems Modeling: Methods and Best Practices (pp. 297-314). IGI Global. https://doi.org/10.4018/978-1-60566-278-7.ch015

Chicago

Berki, Eleni. "Examining the Quality of Evaluation Frameworks and Metamodeling Paradigms of Information Systems Development Methodologies." In Innovations in Information Systems Modeling: Methods and Best Practices, edited by Terry Halpin, John Krogstie, and Erik Proper, 297-314. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-278-7.ch015

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Abstract

Information systems development methodologies and associated CASE tools have been considered as cornerstones for building quality in an information system. The construction and evaluation of methodologies are usually carried out by evaluation frameworks and metamodels - both considered as meta-methodologies. This chapter investigates and reviews representative metamodels and evaluation frameworks for assessing the capability of methodologies to contribute to high-quality outcomes. It presents a summary of their quality features, strengths and weaknesses. The chapter ultimately leads to a comparison and discussion of the functional and formal quality properties that traditional metamethodologies and method evaluation paradigms offer. The discussion emphasizes the limitations of both methods and meta-methods to model and evaluate software quality properties such as computability and implementability, testing, dynamic semantics capture, and people’s involvement. This analysis along with the comparison of the philosophy, assumptions, and quality perceptions of different process methods used in information systems development, provides the basis for recommendations about the need for future research in this area.

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