Person:

Maccormack, Alan

A variety of academic studies argue that a relationship exists between the structure of an organization and the design of the products that the organization produces. Specifically, products tend to "mirror" the architectures of the organizations in which they are developed. This dynamic occurs because the organization's governance structures, problem solving routines, and communication patterns constrain the space in which it searches for new solutions. Such a relationship is important, given that product architecture has been shown to be an important predictor of product performance, product variety, process flexibility, and even the path of industry evolution. We explore this relationship in the software industry. Our research takes advantage of a natural experiment, in that we observe products that fulfill the same function being developed by very different organizational forms. At one extreme are commercial software firms, in which the organizational participants are tightly coupled, with respect to their goals, structure, and behavior. At the other, are open-source software communities, in which the participants are much more loosely coupled by comparison. The mirroring hypothesis predicts that these different organizational forms will produce products with distinctly different architectures. Specifically, loosely coupled organizations will develop more modular designs than tightly coupled organizations. We test this hypothesis, using a sample of matched-pair products. We find strong evidence to support the mirroring hypothesis. In all of the pairs we examine, the product developed by the loosely coupled organization is significantly more modular than the product from the tightly coupled organization. We measure modularity by capturing the level of coupling between a product's components. The magnitude of the differences is substantial—up to a factor of six, in terms of the potential for a design change in one component to propagate to others. Our results have significant managerial implications, highlighting the impact of organizational design decisions on the technical structure of the artifacts that these organizations subsequently develop.

In this paper, we test a Design Structure Matrix (DSM) based method for visualizing and measuring software portfolio architectures. Our data is drawn from a power utility company, comprising 192 software applications with 614 dependencies between them. We show that the architecture of this system can be classified as a “core-periphery” system, meaning it contains a single large dominant cluster of interconnected components (the “Core”) representing 40% of the system. The system has a propagation cost of 44% and architecture flow through of 93%. This case and these findings add another piece of the puzzle suggesting that the method could be effective in uncovering the hidden structure in software portfolio architectures.