By Pirmin P. Lemberger, Mederic Morel
Chapter 1 Why Simplicity? (pages 1–16): Pirmin Lemberger and Mederic Morel
Chapter 2 Complexity, Simplicity, and Abstraction (pages 17–76): Pirmin Lemberger and Mederic Morel
Chapter three price or Values? (pages 77–96): Pirmin Lemberger and Mederic Morel
Chapter four selling price via Simplicity (pages 97–148): Pirmin Lemberger and Mederic Morel
Chapter five Simplicity top Practices (pages 149–172): Pirmin Lemberger and Mederic Morel
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Additional info for Managing Complexity of Information Systems
Second, an IS plays the role of a service provider, which should supply information quickly, reliably, and is expected to be a substitute for traditional paperwork. Unlike an administration, though, an IS is expected to respond quickly to changing requirements. While the various aspects of complexity of an IS are naturally associated with additional costs, simplicity is more naturally associated with creating value and opportunities, by focusing resources on what really matters. As we shall see though, they are deeply related and one often implies the other.
Finally, in reference to the mathematical metaphors of the previous chapter, we can argue that simplicity by reduction implies reducing some of the K-complexities of the system. The description of the IS just got shorter and thus becomes easier to understand. It is also likely that some entropy, due to the weak predictability of manual maintenance operations, will disappear when duplicated systems are suppressed. Simplicity through reduction is in essence a principle of sobriety. 2. Simplicity by hiding complexity While reducing complexity by suppressing features or services from a system is an objective transformation, there are other more subjective ways to increase simplicity.
When applying the concept to physical systems, a scale of description should be defined beforehand. To gain some further intuition, let us look at some simple examples from the IT world using the above concepts as metaphors. Complexity, Simplicity, and Abstraction 29 Low K-complexity (short description) High K-complexity (long description) Low Bennett depth (no significant design work) Standard piece of code that is generated automatically. e. they are easily described) that need to be coded by hand because they are nonstandard (they require significant design effort) Large and wellstructured databases Large and wellstructured code Most ISs, taken as a whole, are both Bennett deep and K-complex.
Managing Complexity of Information Systems by Pirmin P. Lemberger, Mederic Morel