Assessing feedback of measurement data: Relating Schlumberger practices learning to theory

D.M. Solingen, van, E.W. Berghout, E. Kooiman

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Schlumberger RPS successfully applies software measurement to support their software development projects. It is proposed that the success of their measurement practices is mainly based on the organization of the interpretation process. This interpretation of the measurement data by the project team members is performed in so-called 'feedback sessions'. Many researchers identify the feedback process of measurement data as crucial to the success of a quality improvement program. However, few guidelines exist about the organization of feedback sessions. For instance, with what frequency should feedback sessions be held, how much information should be presented in a single session, and what amount of user involvement is advisable? Within the Schlumberger RPS search to improve feedback sessions, the authors explored learning theories to provide guidelines to these type of questions. After all, what is feedback more than learning?.
Original languageEnglish
Title of host publicationProceedings Fourth International Software Metrics Symposium, Albuquerque, New Mexico, November 5-7, 1997
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
ISBN (Print) 0-8186-8093-8 , 0-8 186-8094-6 (case)
Publication statusPublished - 1997
Event4th International Software Metrics Symposium (1997) - Albuquerque, United States
Duration: 5 Nov 19977 Nov 1997


Conference4th International Software Metrics Symposium (1997)
Country/TerritoryUnited States


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