IMPROVE SOFTWARE ESTIMATION, , PLANNING & PROJECT CONTROL IN the SUDAN

Abstract

Abstract The research tackles the improve software estimation, planning& project control in Sudan and answers what is mean by improve software estimation, planning& project control, software cost, effort estimation, variable human, what techniques can be used to manage risks, metrics and quality in Sudan. The research aims to illustrate the standard proven techniques of improve software estimation, p1anning& project control and the new trends that used to build a very good system and also gives techniques that reduce the cost of the software development. The research contains five chapters: Chapter one discusses research structure which include introduction, research problem, research importance, research objectives, research hypothesis, research methodology, research population, Data collection. Chapter two discusses literature review cost estimation which includes techniques of soflware cost estimations, project size, costs, staffing, schedules, software economics and references. Chapter three discusses literature review which includes S/W quality, S/W metrics, S/W risk, configuration management and reference. Chapter four explains the software projects planning which includes cost plan, staffing plan, scheduling plan, project control plan, test plan and reference. Chapter five discusses case studies which includes survey of the software houses in Sudan by analysis the questioner which distributed tosample of software project in Sudan, analysis conclusions, international, current model, suggested model. The secondary data will be collected from references and the internet. The primary data depend on questionnaires as tool of collecting the data. The scope of this research covered sample of 20 software houses in Sudan and will be conducted within the period from July - 2005up to January + 2007.

The research concluded that there is no software project planning and this results in that there is no special risk management, special Quality management, special metrics management, special configuration management, and all these lead projects to failure. Estimation by analogy and experience lead to dim estimations which lead to projects failure. A good improve software estimation, planning& project control lead to successful project.