Context : As increasingly more spectroscopic data are being delivered by medium- and high-resolving power multi-object spectrographs , more automatic stellar parameter determination softwares are being developed .
The quality of the spectra collected also allows the determination of elemental abundances .

Aims : SPADES is an automated software for determining : the radial velocity ( Vr ) , the effective temperature ( T _ { \mathrm { eff } } ) , the surface gravity ( \log g ) , the metallicity ( \mathrm { [ Fe / H ] } ) , and most importantly , the individual abundances .
In this first version it is targeted on the analysis of mid-F-G dwarfs , but is meant to evolve to analyze any type of single stars .

Methods : SPADES relies on a line-by-line modeling to determine the stellar parameters .

Results : The internal systematic and random errors of SPADES were assessed by Monte Carlo method simulations with synthetic spectra and the external systematic errors by analysing real ground-based observed spectra .
For example , by simulating the Giraffe setups HR13 and HR14B with synthetic spectra for a dwarf with T _ { \mathrm { eff } } = 5800 K , \log g = 4.5 , \mathrm { [ Fe / H ] } = 0.0 dex and with a signal-to-noise ratio ( snr ) of 100 , the stellar parameters are recovered with no significant bias and with 1- \sigma precisions of 8 K for T _ { \mathrm { eff } } , 0.05 for \log g , 0.009 for \mathrm { [ Fe / H ] } , 0.003 for \mathrm { [ Ti / Fe ] } and 0.01 for \mathrm { [ Ni / Fe ] } .

Conclusions :