Reverse Engineering Variability from Product Variants (bibtex)
by Lukas Linsbauer
Abstract:
Companies often develop a set of similar software product variants that have some parts in common while differing in other parts. The number of such variants often increases over time by copying existing ones and adapting them to fit new requirements. At some point the maintenance of existing variants and the creation of new ones becomes unmanagable. Changes to features or bug fixes have to be replicated in every variant that implements the feature which is error prone and costly to do for a large number of variants. Also, when creating new variants it becomes difficult to decide which assets from what existing variants to reuse. One option would be to refactor such a set of related software product variants into a single, configurable system representation or even develop them like this from the start. But this takes a very long time to do and requires a major upfront investment of time and money which companies often cannot afford. Also they then lack the exibility when it comes to new requirements and product variants that the system was not initially designed for. Therefore this thesis aims to provide a partial solution to all these challenges by providing automated support for reverse engineering variability from existing software product variants and guiding reuse of assets, easing their maintenance and supporting the creation of new variants. For this purpose traces from features as well as feature interactions to implementation artifacts of arbitrary types (source code, models, documentation, etc.) are established automatically by comparing existing product variants with each other. Additionally dependencies between implementation assets are extracted that can serve as some form of variability model.
Reference:
Reverse Engineering Variability from Product Variants (Lukas Linsbauer), Master's thesis, Johannes Kepler University (JKU), Linz, Austria, 2013.
Bibtex Entry:
@MastersThesis{Linsbauer2013,
  author    = {Lukas Linsbauer},
  title     = {Reverse Engineering Variability from Product Variants},
  school    = {Johannes Kepler University (JKU), Linz, Austria},
  year      = {2013},
  abstract  = {Companies often develop a set of similar software product variants
	that have some parts in common while differing in other parts. The
	number of such variants often increases over time by copying existing
	ones and adapting them to fit new requirements. At some point the
	maintenance of existing variants and the creation of new ones becomes
	unmanagable. Changes to features or bug fixes have to be replicated
	in every variant that implements the feature which is error prone
	and costly to do for a large number of variants. Also, when creating
	new variants it becomes difficult to decide which assets from what
	existing variants to reuse. One option would be to refactor such
	a set of related software product variants into a single, configurable
	system representation or even develop them like this from the start.
	But this takes a very long time to do and requires a major upfront
	investment of time and money which companies often cannot afford.
	Also they then lack the exibility when it comes to new requirements
	and product variants that the system was not initially designed for.
	Therefore this thesis aims to provide a partial solution to all these
	challenges by providing automated support for reverse engineering
	variability from existing software product variants and guiding reuse
	of assets, easing their maintenance and supporting the creation of
	new variants. For this purpose traces from features as well as feature
	interactions to implementation artifacts of arbitrary types (source
	code, models, documentation, etc.) are established automatically
	by comparing existing product variants with each other. Additionally
	dependencies between implementation assets are extracted that can
	serve as some form of variability model.},
  file      = {:MSc Theses\\2013 Lukas Linsbauer\\Lukas Linsbauer - Reverse Engineering Variability from Product Variants-preprint.pdf:PDF},
  owner     = {AK117794},
  keywords  = {FWF P23115},
  timestamp = {2015.09.22},
}
Powered by bibtexbrowser