Abstract
Current architecture assessment models focus on either architecture maturity or architecture alignment, considering the other as an explaining sub-variable. Based on an exploratory study, we conjecture that both alignment and maturity are equally important variables in properly assessing architecture organizations. Our hypothesis is that these variables conceptually differ, correlate, but do not explain one another. In this paper we describe our Multi-dimensional Assessment model for architecture Alignment and architecture Maturity (MAAM), which contains six main interrelated sub-variables that explain both alignment and maturity. We used existing models, literature from business and IS domains, and knowledge gained from previous research to identify the explaining variables. We constructed MAAM using structured modeling techniques. We are currently using a structured questionnaire method to construct an Internet survey with which we gather data to empirically validate our model. Our goal is to develop an architecture assessment process and supporting tool based on MAAM.
Original language | English |
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Pages (from-to) | 357-371 |
Number of pages | 15 |
Journal | Lecture Notes in Computer Science |
Volume | 3520 |
Publication status | Published - 29 Sept 2005 |
Externally published | Yes |
Event | 17th International Conference on Advanced Information Systems Engineering, CAiSE 2005 - Porto, Portugal Duration: 13 Jun 2005 → 17 Jun 2005 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science