Background: Analogy-Based Effort Estimation (ABE) is one of the efficient methods for software effort estimation because of its outstanding performance and capability of handling noisy datasets. Problem & Objective: Conventional ABE models usually use the same number of analogies for all projects in the datasets in order to make good estimates. Our claim is that using same number of analogies m...

Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the historical database considered contains data coming from projects of a heterogeneous nature. The segmentation of the input domain according to clusters obtained from the database of historical projects serves as a tool for...

The research work is an extension of the original UCP Model for software estimation by incorporating the factors that are currently weighted in estimation of software by IT professionals. The rationale of the study is to make UCP Model effective, realistic and more accurate for the current IT industry. To identify the gap between the original UCP model and the current estimation considerations,...

The objective of this paper is to investigate the pertinent question whether multi-organizational data is valuable for software project cost estimation. Local, company-specific data is widely believed to provide a better basis for accurate estimates. On the other hand, multi-organizational databases provide an opportunity for fast data accumulation and shared information benefits. Therefore, th...

Software Cost Estimation can be described as the process of predicting the most realistic effort required to complete a software project. Due to the strong relationship of accurate effort estimations with many crucial project management activities, the research community has been focused on the development and application of a vast variety of methods and models trying to improve the estimation ...

Software effort estimation is a critical part of software engineering. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software effort prediction is still a challenging endeavor. In order to address this issue, a novel soft computing framework was previously developed. Our study utilizes this novel framework to develop an approach c...

0164-1212/$ see front matter 2008 Elsevier Inc. A doi:10.1016/j.jss.2008.06.001 * Corresponding author. Tel.: +65 83442816. E-mail address: [email protected] (Y.F. Li). A number of software cost estimation methods have been presented in literature over the past decades. Analogy based estimation (ABE), which is essentially a case based reasoning (CBR) approach, is one of the most popular techni...

The construction of software cost estimation models remains an active topic of research. The basic premise of cost modelling is that a historical database of software project cost data can be used to develop a quantitative model to predict the cost of future projects. One of the difficulties faced by workers in this area is that many of these historical databases contain substantial amounts of ...

B. Tirimula Rao Senior. Assistant professor, Department of Computer Science and Engineering Anil Neerukonda Institute of Technology and Sciences, Sangivalasa, Bheemili Mdl, Visakhapatnam -531 162 B. Sameet, G. Kiran Swathi, K. Vikram Gupta, Ch. RaviTeja, S.Sumana Department of Computer Science and Engineering Anil Neerukonda Institute of Technology and Sciences, Sangivalasa, Bheemili Mdl, Visak...

Software cost estimation is the process of predicting the effort required to develop a software system. The basic input for the software cost estimation is coding size and set of cost drivers; the output is effort in terms of Person-Months. Here, the use of FPA and COCOMO has been proposed for the estimation of software project cost. It was found the FPA results for first case study WBDDDS was ...