Abstract
Software Product Line Engineering promises to increase the productivity of software development. In the literature, a plan-driven process has been established that is divided up into domain and application engineering. We argue that the strictly sequential order of its process activities implies several disadvantages such as increased complexity, late customer feedback, and duplicate maintenance. SuperMod is a novel model-driven tool based upon a filtered editing model oriented towards version control. The tool provides integrated support for domain and application engineering, offering an iterative and incremental style of development. In this paper, we apply SuperMod to a well-known case study, the Home Automation System product line. We learn that the tool supports a broad variety of iterative and incremental development processes, ranging from phase-structured to feature-driven. Furthermore, it can mitigate the disadvantages of the traditional software product line development process.
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Notes
- 1.
Our notion of partial feature configuration only implies that there exist unbound features. This differs from the concept of staged configurations (as introduced, e.g., in [4]), which need to be specified in a top-down way, introducing parent-child selection constraints.
- 2.
Graphical Modeling Framework, http://www.eclipse.org/modeling/gmp/.
- 3.
Equivalently, we could have applied the positive realization and committed it against positively bound features; however, this would have required three additional code generation increments.
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Acknowledgements
The authors give thanks to Marco Dmitrow for adapting the HAS case study in a master project and for valuable input for the improvement of SuperMod.
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Schwägerl, F., Buchmann, T., Westfechtel, B. (2016). Filtered Model-Driven Product Line Engineering with SuperMod: The Home Automation Case. In: Lorenz, P., Cardoso, J., Maciaszek, L., van Sinderen, M. (eds) Software Technologies. ICSOFT 2015. Communications in Computer and Information Science, vol 586. Springer, Cham. https://doi.org/10.1007/978-3-319-30142-6_2
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