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

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

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Samenvatting

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?.
Originele taal-2Engels
TitelProceedings Fourth International Software Metrics Symposium, Albuquerque, New Mexico, November 5-7, 1997
Plaats van productieLos Alamitos
UitgeverijIEEE Computer Society
Pagina's152-164
ISBN van geprinte versie 0-8186-8093-8 , 0-8 186-8094-6 (case)
DOI's
StatusGepubliceerd - 1997
Evenement4th International Software Metrics Symposium (1997) - Albuquerque, Verenigde Staten van Amerika
Duur: 5 nov 19977 nov 1997

Congres

Congres4th International Software Metrics Symposium (1997)
LandVerenigde Staten van Amerika
StadAlbuquerque
Periode5/11/977/11/97

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Citeer dit

Solingen, van, D. M., Berghout, E. W., & Kooiman, E. (1997). Assessing feedback of measurement data: Relating Schlumberger practices learning to theory. In Proceedings Fourth International Software Metrics Symposium, Albuquerque, New Mexico, November 5-7, 1997 (blz. 152-164). Los Alamitos: IEEE Computer Society. https://doi.org/10.1109/METRIC.1997.637176