@article{Onuoha_Inyiama_Onochojah_Okezie_Ezema_Abuh_2015, title={An Open Source Modelling Software for Scientific and Engineering Applications}, volume={14}, url={https://rajpub.com/index.php/ijct/article/view/1993}, DOI={10.24297/ijct.v14i3.1993}, abstractNote={Modelling commonly entails the establishment of relationship(s) between data variables. One common way of doing this, after the data to be modelled has been collected, is to plot a scatter diagram of the data samples collected from the field and then proceed to draw the graph and then derive the model from it. This method of curve fitting (by plotting the scatter diagram) which is done by eye is approximate only and depends upon the judgment of the operator and quite considerable variations can result from various individuals’ efforts to draw the “best curve / straight line.” This led to the development of the least square method of curve fitting and subsequently, software like MATLAB which help automate the process. This project work takes the automation process further by developing this software that seamlessly models a system and computes the level of agreement of the model developed using the data obtained from the field without any programming effort from the user.}, number={3}, journal={INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY}, author={Onuoha, Okechi and Inyiama, Prof. H.C. and Onochojah, U. and Okezie, Dr. C.C. and Ezema, L. and Abuh, M.U.}, year={2015}, month={Jan.}, pages={5550–5557} }