A Study of Analogy Based Sampling for interval based cost estimation for software project management

Li, Y.F.; Xie, Min; Goh, T.N.

doi:10.1109/icmit.2008.4654377

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…The objective of cost estimating is to develop estimates and measurement of costs needed to complete project tasks and activities [10], [11]. Brinke et al (2007) stated that to be effective, cost management requires information that covers the whole process [12].…”

Section: B Cost Estimatingmentioning

confidence: 99%

A Simple Method for Cost Estimating and Controlling

Fanny

2019

International Journal of New Media Technology

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Based on software project survey from Standish Group's "CHAOS Report", 29% of software projects in large enterprises can be delivered on time and not over budget, 53% of software project was over budget or had some problem with the schedule, and 18% of software project was failed. This means that cost management is very important to prevent the possibility of project's failure. Therefore, in this paper, we provide and recommend some methods and technique to do cost estimation and cost controlling as the crucial part of project cost management. We recommend Activity-Base Costing method for cost estimation and Earned Value Analysis for cost control. As the result of this paper, these two methods can be applied properly to the real project and ease the project manager to estimate and control the cost of the project IndexTerms-Activity-Based Costing, cost controlling, cost estimating, cost management, Earned Value Analysis I.

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Section: B Cost Estimatingmentioning

confidence: 99%

A Simple Method for Cost Estimating and Controlling

Fanny

2019

International Journal of New Media Technology

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“…The nature of the projects and the level of their normality in the data set can have a significant impact on the performance of similarity functions. In some previous works, several other similarity functions have been used, including rank mean similarity ( Walkerden & Jeffery, 1997 ), maximum distance similarity, Minkowski similarity ( Angelis & Stamelos, 2000 ), but there is no specific method to show the best similarity function ( Li & Ruhe, 2008 ; Li, Xie & Goh, 2008 ). In a systematic literature review, Wen et al (2012) identified 8 machine learning models for software effort estimation.…”

Section: Introductionmentioning

confidence: 99%

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

Dashti

Gandomani

Adeh

et al. 2022

PeerJ Computer Science

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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.

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