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The AMPLE project conducted several case studies in order to guide project research topics and to validate their results. The industrial partners have experience with product line development in various domains already.
Smaller case studies investigate the challenges for one or two stages of the software life cycle and show the applicability of the project results to these stages. At least one running case study covers all relevant steps of the software product line life cycle. This is necessary to integrate the results from the traceability work and to demonstrate benefits of an integrated model-driven and aspect-oriented approach to feature modularization in product line development.
The case studies considered are described in deliverable D5.1.
• Smart Home is from building automation domain, targeting embedded systems
• Space Weather is from data collection and exploration domain
• Sales Scenario is from enterprise systems and customer relationship management domain
The Smart Home case study is taken from the domain of the Building Technologies (BT) division at Siemens. In the case study context, a “smart home” is a product line for home automation. A smart home is a building for living equipped with a set of electrical sensors and actuators in order to allow for an intelligent sensing and controlling of the building’s devices: windows, heaters, lights, smoke detectors etc.
The Space Weather Decision Support System (SWDSS) is based on the Space Environment
Support System project- SESS [1]. SESS objectives are: a) to provide accurate real-time information about ongoing space weather conditions and events; b) collect and store spacecraft onboard measurements to support the decision of making process on how to react to ongoing space weather occurrences; c) to provide tools for studying and analyzing offline data historic events [2]. In summary, its goal was to monitor and process data from the space environment, enabling the creation of a data center to support different teams responsible for navigation, control missions and research. In AMPLE, a simplified version for the Space Environment Support System (SESS) project was used to assess the applicability of tools and concepts developed in the project. The objective is a transformation of the SWDSS solution into a Software Product Line (SWDSS- SPL).
The Sales scenario provided by SAP is a mid-size industrial applications in the ERP domain typically in the area of 100 up to 250 person years of implementation effort. This allows for thorough investigation in the context of the given project and, on the other hand, guarantees the applicability of results to projects of this size
Smaller case studies investigate the challenges for one or two stages of the software life cycle and show the applicability of the project results to these stages. At least one running case study covers all relevant steps of the software product line life cycle. This is necessary to integrate the results from the traceability work and to demonstrate benefits of an integrated model-driven and aspect-oriented approach to feature modularization in product line development.
The case studies considered are described in deliverable D5.1.
• Smart Home is from building automation domain, targeting embedded systems
• Space Weather is from data collection and exploration domain
• Sales Scenario is from enterprise systems and customer relationship management domain
The Smart Home case study is taken from the domain of the Building Technologies (BT) division at Siemens. In the case study context, a “smart home” is a product line for home automation. A smart home is a building for living equipped with a set of electrical sensors and actuators in order to allow for an intelligent sensing and controlling of the building’s devices: windows, heaters, lights, smoke detectors etc.
The Space Weather Decision Support System (SWDSS) is based on the Space Environment
Support System project- SESS [1]. SESS objectives are: a) to provide accurate real-time information about ongoing space weather conditions and events; b) collect and store spacecraft onboard measurements to support the decision of making process on how to react to ongoing space weather occurrences; c) to provide tools for studying and analyzing offline data historic events [2]. In summary, its goal was to monitor and process data from the space environment, enabling the creation of a data center to support different teams responsible for navigation, control missions and research. In AMPLE, a simplified version for the Space Environment Support System (SESS) project was used to assess the applicability of tools and concepts developed in the project. The objective is a transformation of the SWDSS solution into a Software Product Line (SWDSS- SPL).
The Sales scenario provided by SAP is a mid-size industrial applications in the ERP domain typically in the area of 100 up to 250 person years of implementation effort. This allows for thorough investigation in the context of the given project and, on the other hand, guarantees the applicability of results to projects of this size
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Date |
Description |
Type | |
| 2007-07-20 | Description of feasible industrial case studies. | Deliverable (D5.1) |
Download |
| 2008-03-17 | Requirement specifications for industrial case studies | Deliverable (D5.2) |
Download |
| 2008-12-03 | Implementation of first case study (SmartHome implementation). |
Deliverable (D5.3) |
Download |
| Implementations of all case studies | Deliverable (D5.4) |
© 2007 AMPLE