Traditional parametric software reliability growth models (SRGMs) such as nonhomogeneous Poisson process (NHPP) models have been successfully utilized in practical software reliability engineering.
This approach was used in the previous version of MOLE 1.x [19] and it is also utilized in other software tools, e.g., MolAxis [36, 37], CAVER 2.0 [38] and CAVER 3.0 [3.0.
The main contribution of this paper is the definition of a meta-model and UML profile for requirements management to be utilized in practical software and embedded system development which, among other things, incorporates the above-mentioned aspects.
Utilizing in-house developed software and a list of 450 UNIMOD modifications, including SNP substitutions, http://www.unimod.org (Additional file 3 Table S5F) we inferred hypothetical explanations for observed mass shifts in ~92% of the spectra in which modifications were detected (i.e. 3826 MS/MS spectra), several of which had multiple potential chemical explanations (Additional file 3 Table S5D).
Next, to rigorously test the robustness of the associations observed with UNPHASED we employed the multivariate statistic (FBAT-GEE) utilized in the PBAT software package for the haplotype blocks assessed in UNPHASED.
Complex nonlinear least square problems (CNLS) are generally solved by using the Levenberg-Marquardt algorithm (LMA), which is utilized in specialized EIS software packages.
In addition, the analysis software utilized in this stage are created by forensic software vendors and are legally supported.
The proposed load pattern can be utilized in seismic performance assessment software available for the engineering community for seismic assessment of asymmetric-plan buildings.
Refer to supplemental Text file S3 for the source code to the graphing software utilized in this study.
Many docking algorithms, including the eHiTS software utilized in this work [56], are well suited for this ranking task (See Figure S4).
