文章基本信息

标题：Performance Analysis of the Software Cost Estimation Methods: A Review
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作者：Sweta Kumari ; Shashank Pushkar
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：7
出版社：S.S. Mishra
摘要：Accurate cost estimation helps to complete project within time and budget. Many estimation models have been proposed over the last 30 years. This paper provides a detail overview of existing software cost estimation models and techniques. Cost estimation models are basically of two types: algorithmic and non-algorithmic. It also includes the recent developed techniques for software cost estimation field. This paper presents the strength and weakness of various software cost estimation methods. It also focuses on some of the relevant reasons that cause inaccurate estimation. In this paper a comparative analysis among existing popular models are performed and the performance is analysed and compared in terms MMRE (Mean Magnitude of Relative Error) and PRED (Prediction).
关键词：Software Cost Estimation Methods; KDLOC-Thousands of delivered lines of code; PM- Person Months; ;COCOMO- Constructive Cost Estimation; MOPSO- Multiple objective particle swarm optimization; Support vector ;regression