۱٫ Motivation to use Function Points (FP)

۲٫ Paraconsistent Logic

۳٫ Real Data for Analysis

۴٫ Innovation in Decision-Making

۵٫ Results And Discussion

۶٫ Acknowledgment

۷٫ Conclusion

References

This paper addresses the subject of software measurement, namely, the method of Function Point Analysis, which consists in functionally sizing the software. The sizing activity held between customer specialists and suppliers causes disagreements because it involves multiple vague factors that are difficult to quantify. This paper aims to develop the AITOD- Intelligent Decision-making Support system, based on Paraconsistent Annotated Evidential Logic Eτ. This system aims to contribute to the decision-making process of managers. Such methodology has as a precept the materialization of artefacts derived from concepts. The AITOD product has achieved significant improvements in the process of mitigating project recounts. Through the AITOD system, it was verified that 46 projects would result in approval of 28.57% of the projects, 50 projects would result in approval of 64.10% of the projects. With these results, companies would avoid unnecessary expenses and rework. In the scope of the innovative project, the results achieved on the reduction of values spent on project recounting stands out, being proved the viability of the AITOD product.

Motivation to use Function Points (FP)

In general, timely, budget-oriented, error-free projects are not often found between orders delivered by software factory suppliers because they are primarily underestimated and inaccurate in initial estimates. Thus, in response to the losses, it is proposed to analyze point-of-function [16][18][19][24][26][27] counting samples, contained and stored in historical consulting bases, during the two-year life cycle of the project. Therefore, it is motivated to define as general purpose the analysis of software building tools, making it possible to apply web technologies in a programming language in the development and implementation [9] of the AITOD (Intelligent Decision-Making Support) product based on requirements elicitation [28]. Projects can be identified in three categories: project application, project development and, finally, project improvement. In the type of application project, we only have to count in a system that exists, and that must be installed in computational environments.