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Information Journal Paper

Title

ESTIMATION OF TOTAL EFFORT AND EFFORT ELAPSED IN EACH STEP OF SOFTWARE DEVELOPMENT USING OPTIMAL BAYESIAN BELIEF NETWORK

Pages

  507-530

Abstract

 Accuracy in estimating the needed effort for software development caused SOFTWARE EFFORT ESTIMATION to be a challenging issue. Beside estimation of total effort, determining the effort elapsed in each software development step is very important because any mistakes in ENTERPRISE RESOURCE PLANNING can lead to project failure. In this paper, a BAYESIAN BELIEF NETWORK was proposed based on effective components and software development process. In this model, the feedback loops are considered between development steps provided that the return rates are different for each project. Different return rates help us determine the percentages of the elapsed effort in each software development step, distinctively. Moreover, the error measurement resulted from optimized effort estimation and the optimal coefficients to modify the model are sought. The results of the comparison between the proposed model and other models showed that the model has the capability to highly accurately estimate the total effort (with the marginal error of about 0.114) and to estimate the effort elapsed in each software development step.

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    APA: Copy

    ZARE BAGHIABAD, FATEMEH, KHADEMI ZARE, HASAN, FALLAHNEZHAD, MOHAMMAD SABER, & ADIBNIA, FAZLOLAH. (2017). ESTIMATION OF TOTAL EFFORT AND EFFORT ELAPSED IN EACH STEP OF SOFTWARE DEVELOPMENT USING OPTIMAL BAYESIAN BELIEF NETWORK. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 9(3 ), 507-530. SID. https://sid.ir/paper/140476/en

    Vancouver: Copy

    ZARE BAGHIABAD FATEMEH, KHADEMI ZARE HASAN, FALLAHNEZHAD MOHAMMAD SABER, ADIBNIA FAZLOLAH. ESTIMATION OF TOTAL EFFORT AND EFFORT ELAPSED IN EACH STEP OF SOFTWARE DEVELOPMENT USING OPTIMAL BAYESIAN BELIEF NETWORK. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2017;9(3 ):507-530. Available from: https://sid.ir/paper/140476/en

    IEEE: Copy

    FATEMEH ZARE BAGHIABAD, HASAN KHADEMI ZARE, MOHAMMAD SABER FALLAHNEZHAD, and FAZLOLAH ADIBNIA, “ESTIMATION OF TOTAL EFFORT AND EFFORT ELAPSED IN EACH STEP OF SOFTWARE DEVELOPMENT USING OPTIMAL BAYESIAN BELIEF NETWORK,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 9, no. 3 , pp. 507–530, 2017, [Online]. Available: https://sid.ir/paper/140476/en

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