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What is Software Factory Automation

Handbook of Research on Complex Dynamic Process Management: Techniques for Adaptability in Turbulent Environments
is the vision to set up software factories as the way other industries have been establishing the industrial factories for manufacturing. It requires different know-how, expertise, infrastructures and processes to put forward the integrated software construction environments. Software Factory Automation analyzes the functional and non-functional requirements of a product domain, establishes the product line, provides core assets, and preliminary processes. It leverages the actual software construction in many ways including dynamic process management and time-to-market issues.
Published in Chapter:
A Domain Specific Strategy for Complex Dynamic Processes
Semih Cetin (Cybersoft Information Technologies, Turkey ), N. Ilker Altintas (Cybersoft Information Technologies, Turkey ), and Ozgur Tufekci (Cybersoft Information Technologies, Turkey)
DOI: 10.4018/978-1-60566-669-3.ch018
Abstract
This chapter identifies the issues that might create orthogonal complexities for process dynamism, and decouples the components implementing them in a “domain specific” way. Authors believe that traditional process management techniques for modeling and executing the processes still fall short to improve the dynamism of an enterprise. Some of the reasons are: using too “generic” techniques and tools for process management that are not scalable enough for typical business cases, having lack of architectural coverage to manage the tradeoffs between dynamism and other business quality issues, insufficient support for integrating legacy business processes, and unbalanced guidance between “primary” and “supportive” processes. In order to improve the business agility particularly with dynamic processes, effective abstraction and composition techniques are needed for the systematic design of primary and supportive processes in an organization. Authors bring in the “Domain Specific Kit” abstraction as a way to improve the dynamism of complex processes.
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