A Review of Software Cost Estimation in Agile Software Development Using Soft Computing Techniques

Author(s):  
Saurabh Bilgaiyan ◽  
Samaresh Mishra ◽  
Madhabananda Das
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.


2017 ◽  
Vol 10 (4) ◽  
pp. 51-64 ◽  
Author(s):  
Saurabh Saurabh ◽  
◽  
Santwana Sagnika ◽  
Samaresh Mishra ◽  
Madhabananda Das ◽  
...  

Author(s):  
K. Vinaykumar ◽  
V. Ravi ◽  
Mahil Carr

Software development has become an essential investment for many organizations. Software engineering practitioners have become more and more concerned about accurately predicting the cost of software products to be developed. Accurate estimates are desired but no model has proved to be successful at effectively and consistently predicting software development cost. This chapter investigates the use of the soft computing approaches in predicting the software development effort. Various statistical and intelligent techniques are employed to estimate software development effort. Further, based on the abovementioned techniques, ensemble models are developed to forecast software development effort. Two types of ensemble models viz., linear (average) and nonlinear are designed and tested on COCOMO’81 dataset. Based on the experiments performed on the COCOMO’81 data, it was observed that the nonlinear ensemble using radial basis function network as arbitrator outperformed all the other ensembles and also the constituent statistical and intelligent techniques. The authors conclude that using soft computing models they can accurately estimate software development effort.


2020 ◽  
Vol 7 (1) ◽  
pp. 97
Author(s):  
Juliana Kristi ◽  
Siti Nur Aisah ◽  
Renny Sari Dewi

Software cost estimation is the process of predicting software development efforts. The basic input of software cost estimation is the measurement metric. Projects often experience delays, over-budget, and are not completed due to failure to estimate software development costs. PT BPRS (Bank Perkreditan Rakyat Syariah) Lanatabur Tebuireng determines the estimated cost based on the amount of human resources, features needed, and funds owned. This study explains the estimated costs of the FAS (Financing Analysis System) software at PT BPRS Lantabur Tebuireng using the Function Point method. Function Point is a method of measuring software functionality based on the type of user function that is External Input, External Output, External Inquire, Internal Logic File, and External Interface File as well as technical calculations of software development. The final of the FAS (Financing Analysis System) study cost around IDR 94,797,120.


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