| Selectica Configuration Platform Features |
| Declarative Constraint Engine Features |
| Declarative Form |
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Business logic expressed in declarative, not procedural, form. Business entities are represented using parameters. Relationships between parameters are captured as constraints. |
| Scalable |
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Declarative form compact compared to procedural engine. Inherently scalable for faster throughput. |
| High Performance |
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State-based engine considers only changes to model, instead of processing entire model, for significantly faster processing. |
| Simplified Architecture |
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No elaborate procedures are required to get valid configuration |
| Automated |
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Engine automatically adjusts to added or removed parameter or constraint. Runs all applicable constraints and rejects choice in case of constraint failure. State of business model always correct. |
| Knowledge Base Features |
Disconnected Mode |
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Enable laptop usage for field sales by permitting only a portion of entire product set, such as a certain product family, to be loaded, reducing storage requirements and increasing speed. Also called untethered mode. |
Dual Core Enabled |
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Take advantage of dual-core processors by enabling parallel loading of knowledge bases, reducing load time to almost half. |
| Repository |
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Repository includes business entities and logic |
| Parameters |
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Parameters (business entities to be configured) can be logical, cumulative, or programmatic |
| Constraints |
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Constraints (relationships between business entities) can be hard or soft, and can consist of algebraic expressions, function expressions, rules, tables, compatibility/ incompatibility, or resource |
| Components |
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Components (pre-defined business objects, which are the parts and their attributes) can be hierarchical and can be loaded from a database |
| Modeling Features |
Dynamic Properties |
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Dynamic component properties simplifies modeling because it permits descriptive attributes to be attached to a component, such as price, PC board slot number, and quantity. |
| Complexity |
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Rich modeling constructs permit modeling at attribute and meta level, instead of component level, easing modeling of complex products and services. |
| Object-Oriented |
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Supports inheritance to extract common behavior and data. Also supports composition that can reflect physical containment |
| Parameters |
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Multiple types of parameters are available, including referential parameters, resource parameters, and containers of parameters |
| Validity Dates |
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Validity dates available for models, parameters, constraints, and components |
| Extensible |
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Model is extensible to allow user-defined functions |
| Runtime Features |
Resource Calculation |
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Automatic resource calculations during runtime ensure that resource requirements are met. For example, the system can automatically calculate the total power requirements for a PC system configuration, and indicate if the selected PC power supply will be adequate. |
Ajax Enablement |
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Performance improvement by communicating only changes to configuration, instead of entire model, enabling Ajax operation on user interface.
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Rollbacks |
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Supports multiple rollback points for What-If Analysis, such as comparing multiple configurations. |
Load Time Reduction |
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Up to 40% faster knowledge base load time improvement |
Runtime Performance |
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Up to 20% faster runtime performance |
RAM Reduction |
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Up to 40% decrease in RAM memory size requirement for knowledge base and up to 30% decrease for session memory requirement |
Dual Core Enabled |
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Take advantage of newer dual-core (and quad-core) processors by enabling multi-threading during runtime, improving performance by over 30%. For organizations using Virtualization, performance can also be dramatically improved by allocating multiple processors to Selectica configurations. |
| Scalable |
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Shares model across knowledge base. Architecture inherently scalable |
| Data Driven |
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Database connectivity at various levels, including design-time, load-time, and run-time |
| Solution Configuration |
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Supports solution configuration, where multiple “independent” sub-configurations can be started, then placed in a parent configuration |
| Dynamic Modeling |
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Supports dynamic modeling, including run-time sub-classing |
| Partial Configurations |
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Supports saving of partial configurations |
| Failure Messages |
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Supports multiple failure message scenarios, including internationalization of messages , as well as custom error messages |
| Warnings |
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Supports messages that indicate violation of soft constraints |
| Analytics Features |
Knowledge Base |
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Generates knowledge base analytics, such as number of constraints, parameters, and relationships |