Generic model of software cost estimation: A hybrid approach

Patil, Lalit V.; Waghmode, Rina M.; Joshi, Sarang; Khanna, Vivek

doi:10.1109/iadcc.2014.6779528

Cited by 18 publications

(17 citation statements)

References 24 publications

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“…Generic model of software cost estimation: a hybrid approach [2] Displays a significantly different classification bias, as a result, confirms the accuracy is improved by the addition of KPCA model. a collective study of PCA and neural network [3] Accuracy still moderates and less than if we adding KPCA based model which will improve the accuracy better enhancement of prediction accuracy in COCOMO [4] Another estimation model Generic Model to improve the accuracy of cost estimation as a hybrid approach.…”

Section: Paper Titlesupporting

confidence: 56%

“…Therefore, the result of PCA and ANN based on COCOMO are more accurate and increase the correctness of estimation without worsening the variability. Future work on Kernel Principal Component Analysis (KPCA) model displays a significantly different classification bias, as a result, confirms the accuracy is improved by the addition of KPCA model [2,22].…”

Section: Related Workmentioning

confidence: 67%

“…Therefore, the accuracy of cost estimation techniques is a major challenge. There are many software estimation techniques, and it can be categorized into six categories [1] as appear in figure 1, in addition, it can be categorized into algorithmic and non-algorithmic method [2][3]. A conventional Algorithmic approach provides the mathematics and trial equations or formula to compute software cost and effort [3][4].…”

Section: Software Estimation Challengesmentioning

confidence: 99%

“…The generic model [2] used Principal Component Analysis (PCA) with Artificial Neural Network (ANN) base of (COCOMO II) model to improve the correctness of cost estimation. The relation to the cost of resources that are essential during software development, So the combination of these models aid to estimate software cost and effort by calculate the size and create a hybrid tool.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Comparative Study of Software Estimation Techniques

Aljohani¹,

Qureshi²

2017

IJSEA

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Section: Paper Titlesupporting

confidence: 56%

Section: Related Workmentioning

confidence: 67%

Section: Software Estimation Challengesmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Study of Software Estimation Techniques

Aljohani¹,

Qureshi²

2017

IJSEA

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show abstract

“…The generic model uses Principal Component Analysis (PCA) with Artificial Neural Network (ANN) model to improve the accuracy of cost estimation [11]. The combination of these models aids to estimate software cost and effort by calculating the size and create a hybrid tool.…”

Section: Identifymentioning

confidence: 99%

Management of Changes in Software Requirements during Development Phases

Aljohani

Qureshi²

2016

IJEME

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Change, in software requirements during its development phases, is considered as a major risk which may affect a software project to fail. Therefore, software engineering processes, methods, and tools are used in order to manage these risks whereas changes in requirements have many negative influences such as effects on system development life cycle (SDLC) phases, project progress, and outcome of a software project. Consequently, project managers must use risk management strategies, activities, and estimation techniques in order to manage and mitigate these risks which are caused due to changes in requirements. A novel model is proposed in this paper to manage and mitigate risks related to changing requirements. The proposed model is validated through qualitative research design. The results are in favor of the proposed model to show its effectiveness. It is anticipated that the proposed model will solve the problems of software companies in major to deal with risks about changing requirements.

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Analysis of COCOMO and UCP

Sharma

Purohit

2018

Data Science and Analytics

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Generic model of software cost estimation: A hybrid approach

Cited by 18 publications

References 24 publications

Comparative Study of Software Estimation Techniques

Comparative Study of Software Estimation Techniques

Management of Changes in Software Requirements during Development Phases

Analysis of COCOMO and UCP

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