A Groupware-Supported Inspection Process for Active Inspection Management

Halling, Michael; Biffl, Stefan; GrÃ¼nbacher, Paul

doi:10.1109/EURMIC.2002.1046168

A Groupware-Supported Inspection Process for Active Inspection Management

by Michael Halling, Stefan Biffl, Paul GrÃ¼nbacher

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, Paul GrÃ¼nbacher, "A Groupware-Supported Inspection Process for Active Inspection Management", IEEE Computer Society, pp. 251-258, 2002.

Bibtex Entry:

@Conference{Halling2002,
  Title                    = {A Groupware-Supported Inspection Process for Active Inspection Management},
  Author                   = {Michael Halling and Stefan Biffl and Paul GrÃ¼nbacher},
  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}
}