An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm
The GSD team-level service climate is one of the key determinants to achieve the outcome of global software development (GSD) projects. To evaluate the GSD team-level service climate and GSD project outcome relationship based on Adaptive Neuro-Fuzzy Inference System (ANFIS) with the Hybrid Taguchi-Genetic Learning Algorithm (HTGLA). The applicability and capability of HTGLA-based ANFIS approach is investigated through the real data sets obtained from Indian software industries.
service climate taguchi-genetic learning algorithm global software development adaptive neuro-fuzzy inference system