@Article{dblp:journals/ijseke/EgyedG05,
  author    = {Alexander Egyed and Paul Grünbacher},
  title     = {Supporting Software Understanding with Automated Requirements Traceability},
  journal   = {Int'l Journal of Software Engineering and Knowledge Engineering},
  year      = {2005},
  volume    = {15},
  number    = {5},
  pages     = {783-810},
  abstract  = {Requirements traceability (RT) aims at defining and utilizing relationships
	between stakeholder requirements and artifacts produced during the
	software development life-cycle and provides an important means to
	foster software understanding. Although techniques for generating
	and validating traceability information are available, RT in practice
	often suffers from the enormous effort and complexity of creating
	and maintaining traces. This results in invalid or incomplete trace
	information which cannot support engineers in real-world problems.
	In this paper we present a tool-supported approach that requires
	the designer to specify some trace dependencies but eases trace acquisition
	by generating others automatically. We illustrate the approach using
	a video-on-demand system and show how the generated traces can be
	used in various engineering scenarios to improve software understanding.
	In a case study using an open source software application we demonstrate
	that the approach is capable of dealing with large-scale systems
	and delivers valid results.},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl    = {https://dblp.org/rec/bib/journals/ijseke/EgyedG05},
  doi       = {10.1142/S0218194005002464},
  file      = {:Journals\\JSEKE 2005 - Supporting Software Understanding with Automated Requirements Traceability\\Supporting Software Understanding with Automated Requirements Traceability-preprint.pdf:PDF},
  keywords  = {},
  owner     = {paul},
  timestamp = {2015.09.12},
}