Analysis of effort estimation based on software project models

Jodpimai, Pichai; Sophatsathit, Peraphon; Lursinsap, Chidchanok

doi:10.1109/iscit.2009.5341149

Cited by 7 publications

(6 citation statements)

References 11 publications

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“…Step 6. Evaluate the accuracy of the software cost estimation model [4] [9]. The accuracy of the cost estimation could be evaluated by calculating the Mean Relative Error (MRE) between the actual value and the estimated value as in Eq.…”

Section: The Step Of Our Research Methodology Is As Followsmentioning

confidence: 99%

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Framework for Developing a Software Cost Estimation Model for Software Modification Based on a Relational Matrix of Project Profile and Software Cost Using an Analogy Estimation Method

Suwanjang¹,

Prompoon²

2012

IJCCE

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Software cost estimation is one of the most challenging works due to the fact that it requires detailed information about each stage of the project, including the project scope, project requirements, software development methodology and the required resources. Often, this information is not known until the final stage of project while the cost of project needs to be estimated at the initial stage. There are many different ways to estimate software costs and each way has its own characteristics and purpose according to each project profile. The purpose of this research is to propose a framework for developing a software cost estimation model for software modification project based on a relational matrix of a project profile and software cost using an analogy estimation method and multiple regression analysis to estimate the amount of software modification list and the amount of effort need for the new project from the data collection of the previous project.

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Section: The Step Of Our Research Methodology Is As Followsmentioning

confidence: 99%

“…X 8 + b 9 X 9 + b 10 X 10 + b 11 X 11 + b 12 X 12 + b 13 X 13 + b 14 X 14 + b 15 X 15 + b 16 X 16 + b 17 X 17 + b 18 X 18(4) Effort required for develop the report and condition are developed as follows.…”

mentioning

confidence: 99%

Framework for Developing a Software Cost Estimation Model for Software Modification Based on a Relational Matrix of Project Profile and Software Cost Using an Analogy Estimation Method

Suwanjang¹,

Prompoon²

2012

IJCCE

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“…In this method the system is broken down into smaller components to measure the size of the software. This metric exceptionally are taking in the account for the source code errors in programming languages [13]. A function point connotes the functional aspects of program i.e.…”

Section: Fpmentioning

confidence: 99%

Comparison of hard limiting and soft computing methods for predicting software effort estimation: In reference to Small Scale Visualization Projects

Kumar¹,

Jayaram²

2018

IJET

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It is a well known fact that software effort estimation is exceptionally critical in every software industry, particular during the development of projects. It is hard to estimate the parameters involved due to ambiguity and uncertainty associated with the parameters. It is exactly here the hard limiting techniques, soft computing techniques comes to play. In this unique circumstance, this paper, presents an attempt to that compare the two paradigms for effort estimation. For this, we have considered fifty real time small vi sualization projects thrive by post graduate students. The prototype development involves following stages: i) Elicitation of seven novel parameters namely Lines of Code, Cumulative Grade Point Average, New and changed code, Reused code, Cyclomatic Complexity, Algorithmic Complexity and Functional Points. ii)Developing of hard limiting methods and soft computing methods for prediction of software effort involved in terms of duration in minutes.For the validation of the models error metrics namely: Mean Absolute Error (MAE), Mean Magnitude of Relative Error (MMRE), Mean of Magnitude of error Relative to the Estimate (MMER) and Root Mean Square Error (RMSE) have been used. The result showed that the models compared very well with marginal difference in terms of predict values of error matrix.

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“…Function point is the entity of the dimension to represent quantity of software functionality performance [6]. And function point analysis is the procedure to calculate the software size.…”

Section: Table1 Reliability Models [2]mentioning

confidence: 99%

Software Superiority Achievement through Functional Point and Test Point Analysis

Kadam¹,

Joshi²,

Bhattacharyya³

2016

IJSEIA

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Software cost estimation is the important activity while the development of the software. Expenditure assessment is bit complex task as it can be affected by many factors. This factors aids in the calculating of maintenance cost of software. In this paper we have implemented the function point analysis and test point analysis in order to discover the maintenance cost. This is accomplished by using the various techniques to calculate the function point analysis and test point analysis. Along with the calculation of maintenance cost we have also presented the module to assess the reliability of the software from the context of white box testing. Software reliability growth models are aids to evaluate the reliability of the software. This paper presented the analysis of code based SRGM to estimate the reliability.

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Analysis of effort estimation based on software project models

Cited by 7 publications

References 11 publications

Framework for Developing a Software Cost Estimation Model for Software Modification Based on a Relational Matrix of Project Profile and Software Cost Using an Analogy Estimation Method

Framework for Developing a Software Cost Estimation Model for Software Modification Based on a Relational Matrix of Project Profile and Software Cost Using an Analogy Estimation Method

Comparison of hard limiting and soft computing methods for predicting software effort estimation: In reference to Small Scale Visualization Projects

Software Superiority Achievement through Functional Point and Test Point Analysis

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