scholarly journals LEMABE: a novel framework to improve analogy-based software cost estimation using learnable evolution model

2022 ◽  
Vol 7 ◽  
pp. e800
Author(s):  
Maedeh Dashti ◽  
Taghi Javdani Gandomani ◽  
Dariush Hasanpoor Adeh ◽  
Hazura Zulzalil ◽  
Abu Bakar Md Sultan
Keyword(s):  
Cost Estimation ◽  
Considerable Improvement ◽  
Estimation Accuracy ◽  
Development Cost ◽  
Critical Factors ◽  
Software Cost Estimation ◽  
Software Projects ◽  
Software Cost ◽  
Initial Stage ◽  
Learnable Evolution Model

One of the most important and critical factors in software projects is the proper cost estimation. This activity, which has to be done prior to the beginning of a project in the initial stage, always encounters several challenges and problems. However, due to the high significance and impact of the proper cost estimation, several approaches and methods have been proposed regarding how to perform cost estimation, in which the analogy-based approach is one of the most popular ones. In recent years, many attempts have been made to employ suitable techniques and methods in this approach in order to improve estimation accuracy. However, achieving improved estimation accuracy in these techniques is still an appropriate research topic. To improve software development cost estimation, the current study has investigated the effect of the LEM algorithm on optimization of features weighting and proposed a new method as well. In this research, the effectiveness of this algorithm has been examined on two datasets, Desharnais and Maxwell. Then, MMRE, PRED (0.25), and MdMRE criteria have been used to evaluate and compare the proposed method against other evolutionary algorithms. Employing the proposed method showed considerable improvement in estimating software cost estimation.

scholarly journals Optimization Criteria for Effort Estimation using Fuzzy Technique

2007 ◽  
Vol 10 (1) ◽  
Author(s):  
Harish Mittal ◽  
Pradeep Bhatia
Keyword(s):  
Cost Estimation ◽  
Triangular Fuzzy Number ◽  
Exact Science ◽  
Effort Estimation ◽  
Software Cost Estimation ◽  
Software Projects ◽  
Software Cost ◽  
Models Comparison ◽  
Effective Cost ◽  
Single Number

Effective cost estimation is the most challenging activity in software development. Software cost estimation is not an exact science. Cost estimation process involves a series of systematic steps that provide estimate with acceptable risk. Some prevalent LOC based models are- Bailey Basili model, Alaa F. Sheta G.E. Model, and Alaa F. Sheta, Model 2 .Two new models, based on fuzzy logic sizing, are presented in this paper. Rather than using a single number, the software size is regarded as a triangular fuzzy number. We can optimize the estimated effort for any application by varying arbitrary constants for these models. The developed models are tested on 10 NASA software projects, on the basis of four criterions for assessment of software cost estimation models. Comparison of all the models, cited above, is done and it is found that the developed models provide better estimation.

scholarly journals Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects

2019 ◽  
Vol 8 (2) ◽  
pp. 3732-3738
Keyword(s):  
Experimental Analysis ◽  
Cost Estimation ◽  
Software Industry ◽  
Cost Estimate ◽  
Software Cost Estimation ◽  
Software Projects ◽  
Software Cost ◽  
The Cost ◽  
Fitness Analysis ◽  
Research Analysis

In the management of software projects, software cost estimate is very important. The absence of precise and premature estimates is a significant source of the inability of many software initiatives. Nevertheless, it remains a challenge for the software industry to correctly estimate the time and the cost of development. It is used to predict how much effort and time the project needs. The precision of the technology proposal usually depends on the estimated time and the strength standard of the template. In this research analysis the time of development and model fitness are analyzed as a major contribution. The optimized coefficient values for A, B, C & D is used to estimate the time of development and model fitness. This experimental analysis proved that the time of development and model fitness analysis shows the great significance in the estimation and their influence in software cost estimation

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