%0 Conference Paper %1 petersen_software_1989 %A Petersen, P. G %A Andersen, O. %A Heilesen, J. H %A Klim, S. %A Schmidt, J. %B System Sciences, 1989. Vol.II: Software Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on %D 1989 %K attributes; constructive}, control; detrimental, development, deviations; drivers; indicators; model; ongoing, organizational, personnel; process; product; project; quality, reliability software, {COQUAMO; %P 210 --218 vol.2 %R 10.1109/HICSS.1989.47994 %T Software quality drivers and indicators %V 2 %X The predictive part of a constructive quality model called COQUAMO is being developed using the concept of quality drivers to provide information on the development project. The monitoring part of COQUAMO aims at detecting detrimental deviations from plans through quality indicators applied to the ongoing project. The authors describe theoretical investigations of quality drivers and indicators as a basis for the empirical development of the model. They group quality drivers into five major areas: product, process, personnel, project, and organizational attributes but consider product and process attributes only, since characteristics related to the personnel and to the project group seem infeasible to monitor dynamically while organizational characteristics will either remain stable throughout the lifetime of a project, or change so much that consequences cannot be predicted

@inproceedings{petersen_software_1989, abstract = {The predictive part of a constructive quality model called {COQUAMO} is being developed using the concept of quality drivers to provide information on the development project. The monitoring part of {COQUAMO} aims at detecting detrimental deviations from plans through quality indicators applied to the ongoing project. The authors describe theoretical investigations of quality drivers and indicators as a basis for the empirical development of the model. They group quality drivers into five major areas: product, process, personnel, project, and organizational attributes but consider product and process attributes only, since characteristics related to the personnel and to the project group seem infeasible to monitor dynamically while organizational characteristics will either remain stable throughout the lifetime of a project, or change so much that consequences cannot be predicted}, added-at = {2013-02-28T11:13:35.000+0100}, author = {Petersen, P. G and Andersen, O. and Heilesen, J. H and Klim, S. and Schmidt, J.}, biburl = {https://www.bibsonomy.org/bibtex/21b22d23986fba09bf64044948b8fe57d/fritzsolms}, booktitle = {{System Sciences, 1989. {Vol.II:} Software Track, Proceedings of the {Twenty-Second} Annual Hawaii International Conference on}}, doi = {10.1109/HICSS.1989.47994}, interhash = {e4d32d77866ca115fba4c658188bde61}, intrahash = {1b22d23986fba09bf64044948b8fe57d}, keywords = {attributes; constructive}, control; detrimental, development, deviations; drivers; indicators; model; ongoing, organizational, personnel; process; product; project; quality, reliability software, {COQUAMO;}, month = jan, pages = {210 --218 vol.2}, timestamp = {2013-02-28T11:14:04.000+0100}, title = {{Software quality drivers and indicators}}, volume = 2, year = 1989 }