Software Development Using Productivity Metrics and Different Cost Estimation Technique
Keywords:
Software cost estimation, Estimation techniques, Cost models, artificial neural networksAbstract
The academic community needs a confidentiality system that are ease to use by student and faculty members. This system depends on the generating process of a random identification numbers (ID No.), that are not repeatable and have non-repetitive numerical categories to facilitate their handling. In addition to being highly reliable, these numbers are placed on the exam papers instead of the student's information such as the name and exam material School stage and department. The system was designed using Arduino due microcontroller and its development environment. Arduino webserver monitoring system have many facilities that can be programmed using the C programming language to verify monitoring options. One of the significant and challenging activities in software development is the effective software cost estimation. Since the software cost estimation in all software projects is considered to be extremely complicated, challenging and confusing works for all software companies and software cost estimation is the most basic phase for starting software projects, since it is providing an overview related to resources, efforts and schedule/time needed for software projects with regard to software company costs. Generally, software project is based on the software cost estimation since it is providing primary idea regarding tracks, risks and challenges included in software project development. Also, developers are requiring accurate and straightforward approach for effort estimation. Cost estimation prior to starting work is considered to be a prediction, while predictions are not constantly precise. The software effort estimation can be defined as one of the essential tasks in software engineering as well as for controlling the efficiency and quality, thus an adequate technique for estimation is vital. The presented work is providing thorough overview regarding the current models and approaches for software cost estimation, also providing comparative study on the basis of the usefulness and efficiency of such models. There is no single approach considered to be optimum for all conditions, and therefore adequate comparison regarding the results of many methods will probably generate realistic estimation. generally, this paper that is make a comparison between the types of cost estimation in a number of research and studies that have depends on different data and which later will provide the correct path for researchers in choosing the appropriate cost estimation technique and thus the efficiency of the software development.
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