A new regression based software cost estimation model using power values

Adalier O., UĞUR A., Korukoglu S., ERTAŞ K.

8th International Conference on Intelligent Data Engineering and Automated Learning, Birmingham, United Kingdom, 16 - 19 December 2007, vol.4881, pp.326-327 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 4881
  • Doi Number: 10.1007/978-3-540-77226-2_34
  • City: Birmingham
  • Country: United Kingdom
  • Page Numbers: pp.326-327
  • Keywords: software cost estimation, regression analysis, software cost models
  • Dokuz Eylül University Affiliated: Yes


The paper aims to provide for the improvement of software estimation research through a new regression model. The study design of the paper is organized as follows. Evaluation of estimation methods based on historical data sets requires that these data sets be representative for current or future projects. For that reason the data set for software cost estimation model the International Software Benchmarking Standards Group (ISBSG) data set Release 9 is used. The data set records true project values in the real world, and can be used to extract information to predict new projects cost in terms of effort. As estimation method regression models are used. The main contribution of this study is the new cost production function that is used to obtain software cost estimation. The new proposed cost estimation function performance is compared with related work in the literature. In the study same calibration on the production function is made in order to obtain maximum performance. There is some important discussion on how the results can be improved and how they can be applied to other estimation models and datasets.