TY - GEN
T1 - An approach to global sensitivity analysis
T2 - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007
AU - Wagner, Stefan
PY - 2007
Y1 - 2007
N2 - There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data collection in order to estimate the input parameters. Hence, an interesting question is which of these input factors are most important. More specifically, which factors need to be estimated best and which might be removedfrom the model? This paper describes an approach based on global sensitivity analysis to answer these questions and shows its applicability in a case study on the COCOMO application at NASA.
AB - There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data collection in order to estimate the input parameters. Hence, an interesting question is which of these input factors are most important. More specifically, which factors need to be estimated best and which might be removedfrom the model? This paper describes an approach based on global sensitivity analysis to answer these questions and shows its applicability in a case study on the COCOMO application at NASA.
UR - https://www.scopus.com/pages/publications/47949087628
U2 - 10.1109/ESEM.2007.15
DO - 10.1109/ESEM.2007.15
M3 - Conference contribution
AN - SCOPUS:47949087628
SN - 0769528864
SN - 9780769528861
T3 - Proceedings - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007
SP - 440
EP - 442
BT - Proceedings - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007
Y2 - 20 September 2007 through 21 September 2007
ER -