Research on Improved Staged Software Cost Estimation Method Based on COCOMO Model

2014 ◽  
Vol 989-994 ◽  
pp. 1501-1504
Author(s):  
Hai Yang

The accuracy of software cost estimation is essential for software development management. By introducing and analyzing the estimation methods of software cost systematically, the paper discussed the necessary of considering the software maintenance stage and estimating the software cost by separating the procedure of software development into several small stages. Then a staged software cost estimation method based on COCOMO model was proposed. The use of the new software cost estimation method proposed by this paper not only contributes to the cost control of software project, but also effectively avoids the bias problem due to using by single cost estimation method so that the accuracy of cost estimation could be improved.

2014 ◽  
Vol 989-994 ◽  
pp. 1497-1500 ◽  
Author(s):  
Hai Yang

Software cost estimation is the key step to software development management. In order to make COCOMO model applicable to Chinese enterprises, an improved software cost estimation method based on COCOMO model and linear regression was proposed in this paper. Then the replication experiment was taken by using the historical software project data of given enterprises, and then compared experience estimation with the new improved method proposed in this paper about the forecasting accuracy. The results verified that the improved cost estimation method has more practical value to software development.


2014 ◽  
Vol 4 (1) ◽  
pp. 3-12 ◽  
Author(s):  
Jun Liu ◽  
Jian-Zhong Qiao

Purpose – Due to the limitation of acknowledgment, the complexity of software system and the interference of noises, this paper aims to solve the traditional problem: traditional software cost estimation methods face the challenge of poor and uncertain inputs. Design/methodology/approach – Under such circumstances, different cost estimation methods vary greatly on estimation accuracy and effectiveness. Therefore, it is crucial to perform evaluation and selection on estimation methods against a poor information database. This paper presents a grey rough set model by introducing grey system theory into rough set based analysis, aiming for a better choice of software cost estimation method on accuracy and effectiveness. Findings – The results are very encouraging in the sense of comparison among four machine learning techniques and thus indicate it an effective approach to evaluate software cost estimation method where insufficient information is provided. Practical implications – Based on the grey rough set model, the decision targets can be classified approximately. Furthermore, the grey of information and the limitation of cognition can be overcome during the use of the grey rough interval correlation cluster method. Originality/value – This paper proposed the grey rough set model combining grey system theory with rough set for software cost estimation method evaluation and selection.


2018 ◽  
Vol 7 (2.32) ◽  
pp. 377
Author(s):  
Dr T. Vijaya Saradhi ◽  
A Lakshmi Pravallika ◽  
M Manoj

To estimate the cost of model accurately on which the software is functioning is one of the most important things in the software project. But due to the varying nature of the software, and complexity, accurate cost estimation of software has become difficult. Ascertaining the cost of the software at the beginning stage is helpful for designing the other activities of software development. Former estimation of the needed exertion to Creating programming need benefited the advancement acknowledging those provision about Meta heuristic streamlining calculations. These calculations need aid possibility and might a chance to be connected Likewise functional devices for programming expense estimation. In the recent times Meta- heuristic algorithms with high accuracy have brought a great improvement in the field of the software engineering. In this paper we have discussed about the one of the algorithm which help in software cost estimation which is Harmony Search.  


2017 ◽  
Vol 2 (6) ◽  
pp. 20-24
Author(s):  
Faki Agebee Silas ◽  
Musa Yusuf ◽  
Anah Hassan Bijik

Estimating software cost in an agile system in terms of effort is very challenging. This is because the traditional models of software cost estimation do not completely fit in the agile development process. This paper presents a methodology to enhance the cost of project estimation in agile development. The hybridization adopts Class Responsibility Collaborators models with function point thereby boosting the agile software development estimation process. The study found out that adopting the Hybridized Class Responsibility Collaborator with function point has great improvement on cost estimation in agile software development.


Author(s):  
Bhawana Verma, Satish Kumar Alaria

Software cost estimation is a resource forecasting method, which is required by the software development process. However, estimating the workload, schedule and cost of a software project is a complex task because it involves predicting the future using historical project data and extrapolating to see future values. For cost estimates for software projects, several methods are used. Among the various software cost estimation methods available, the most commonly used technology is the COCOMO method. Similarly, to calculate software costs, there are several cost estimating tools available for software developers to use. But these released cost estimation tools can only provide parameters (i.e. cost, development time, average personnel) for large software with multiple lines of code. However, if a software developer wants to estimate the cost of a small project that is usually a mobile application, the available tools will not give the right results. Therefore, to calculate the cost of the mobile application, the available cost estimation method COCOMO II is improved to a new model called New Mobile COCOMO Tool. The New Mobile COCOMO tool developed specifically for mobile applications is a boon for software developers working in small software applications because it only includes important multipliers that play a vital role in estimating the cost of developing mobile applications. Therefore, the objective of this paper is to propose a cost estimation model with a special case of COCOMO II, especially for mobile applications, which calculates the person-month, the programmed time and the average personnel involved in the development of any mobile app.


Author(s):  
Aravindhan K

Cost estimation of software projects is risky task in project management field. It is a process of predicting the cost and effort required to develop a software applications. Several cost estimation models have been proposed over the last thirty to forty years. Many software companies track and analyse the current project by measuring the planed cost and estimate the accuracy. If the estimation is not proper then it leads to the failure of the project. One of the challenging tasks in project management is how to evaluate the different cost estimation and selecting the proper model for the current project. This paper summarizes the different cost estimation model and its techniques. It also provides the proper model selection for the different types of the projects.


2020 ◽  
Vol 7 (1) ◽  
pp. 41
Author(s):  
Annisa Azzar Sandhea ◽  
Sri Maulidiyah ◽  
Renny Dewi Sari

The growing development of computers triggers the amount of software in different amounts and uses. A system is said to be good when starting planning that can estimate the cost, time and amount of resources needed as a basis for planning a system. So that the estimated cost can be an element in an assessment. The research explains that the Academic Guidance Information System (SIBIMA) which is a system for carrying out student consultation activities with academic advisers at XYZ University. From the software cost estimation results at SIBIMA use Function Point which is a method of estimating software size using an indirect approach or indirect approach to estimate software size in Function Point units (FP), for Effort values on SIBIMA is 379,906 man / hour and it is known that the cost needed in developing SIBIMA is IDR 22,858,705 so that it can be used as a reference if the higher education institution wants to develop a software system


Sign in / Sign up

Export Citation Format

Share Document