A Groupware-Supported Inspection Process for Active Inspection Management (bibtex)
by Michael Halling, Stefan Biffl and Paul Grünbacher
Abstract:
Inspection is an important approach to reduce defects in software engineering artifacts. However, research and practice show that the performance of manual inspections fluctuates considerably. Based on experiences we gained in large-scale controlled inspection experiments we propose a concept for improved inspection management relying on (a) the transparent collection of detailed data on the actual inspection process and (b) groupware support for the flexible combination of inspection process modeling and data-driven process analysis. We expect an automated approach to be of versatile help both for researchers who use it for monitoring controlled experiments and for practitioners who may use it as part Of their infrastructure for inspection management and transparent data collection.
Reference:
Michael Halling, Stefan Biffl and Paul Grünbacher: A Groupware-Supported Inspection Process for Active Inspection Management, in Proceedings 28th EUROMICRO Conference 2002, 4-6 September, IEEE Computer Society, 2002.
Bibtex Entry:
@Conference{Halling2002,
  author = {Michael Halling and Stefan Biffl and Paul Grünbacher},
  title = {A Groupware-Supported Inspection Process for Active Inspection Management},
  booktitle = {Proceedings 28th EUROMICRO Conference 2002, 4-6 September},
  year = {2002},
  pages = {251-258},
  publisher = {IEEE Computer Society},
  abstract = {Inspection is an important approach to reduce defects in software
	engineering artifacts. However, research and practice show that the
	performance of manual inspections fluctuates considerably. Based
	on experiences we gained in large-scale controlled inspection experiments
	we propose a concept for improved inspection management relying on
	(a) the transparent collection of detailed data on the actual inspection
	process and (b) groupware support for the flexible combination of
	inspection process modeling and data-driven process analysis. We
	expect an automated approach to be of versatile help both for researchers
	who use it for monitoring controlled experiments and for practitioners
	who may use it as part Of their infrastructure for inspection management
	and transparent data collection.},
  doi = {10.1109/EURMIC.2002.1046168},
  isbn = {0-7695-1787-0},
  researchr = {http://researchr.org/publication/HallingBG02}
}
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