The purpose of the architecture of software systems in business organizations is to support those organizations in achieving business goals. In software development organizations the design of an architecture is a collective effort that involves various organizational stakeholders and designers, who identify, interpret, and reason about intents, and communicate, delegate, commit to, and implement intents and decisions. Current architectural design descriptions are by-and-large based on block-and-arrow notations representing "coarse-grained" solution elements of the system. They lack explicit representation for modeling and analyzing the decision-making of stakeholders and architectural designers who hold different organizational responsibilities, and pursue conflicting and/or synergistic business or system goals, while collectively pursuing organizational objectives. This thesis considers the proposition that a distributed intentionality perspective is applicable in the design of software system architectures. During architectural design, relationships between intentional actors define the context in which intentional actors pursue business and system goals and in which they negotiate architectural decision-making. The objective of this research is to investigate what an Intentional Architecture Language (IAL) could be like that utilizes intentional and organizational modeling and analysis concepts to support architectural decision-making efforts in organizational settings. Drawing from prior work on organizational modeling and analysis, this thesis first defines a core IAL, and then explores its use to model and analyze architectural decision-making both reported in the literature and empirically observed at a number of commercial projects in industry. Drawing from these explorations, this thesis proposes a number of extensions to the core IAL, discusses lessons learned, and points to the advantages and limitations in using an IAL to model and analyze architectural decision-making in an organizational setting.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/31767 |
| Date | 09 January 2012 |
| Creators | Gross, Daniel |
| Contributors | Yu, Eric |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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