Software Development Effort Estimation based-on multiple classifier system and Lines of Code

Velarde, Hector; Santiesteban, Cosme; García, Ana María Ruiz-Ruano; Casillas, Jorge

doi:10.1109/tla.2016.7786379

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…On the other hand, a value of 40%, as MRE based on COCOMO II method without any type of calibration and not considering the fact that it is a safety-critical application, should not be totally discarded and considered a poor estimation, since in the literature there are also several examples with MRE values in the range of 30% or even > 50% (Velarde et al 2016;Grimstad and Jørgensen 2007;Hughes et al 1998).…”

Section: Discussionmentioning

confidence: 99%

“…In de Barcelos Tronto et al (2008) and Finnie et al (1997), the authors proposed a better precision in the effort estimation techniques involving neural networks. And Velarde et al (2016) proposed a method based also on lines of code, one of the entries of the COCOMO method. Khatibi and Jawawi (2011) also present the results of using COCOMO as a method of estimating effort in a real project.…”

Section: Related Workmentioning

confidence: 99%

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Applying COCOMO II for a DO-178C Safety-Critical Software Effort Estimation

Santos

Ferreira

2019

J.Aerosp. Technol. Manag.

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This paper provides a real example of applying COCOMO II as an estimation technique for the required software development effort in a safety-critical software application project following the DO-178C processes. The main goal and contribution of the case study is to support the research on software effort estimation and to provide software practitioners with useful data based on a real project. We applied the method as it is, by correlating the effort multiplier factors with the complexity and objectives introduced by the DO-178C level A application, resulting in an estimated effort. The rationales for each scale factor and effort multiplier selection were also described in detail. By comparing the estimated values with the actual required data, we found a magnitude of relative error (MRE) of 40% and provided alternatives for future work in order to increase the effort estimation accuracy in safety-critical software projects.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Applying COCOMO II for a DO-178C Safety-Critical Software Effort Estimation

Santos

Ferreira

2019

J.Aerosp. Technol. Manag.

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“…Os autores de Barcelos Tronto et al [15] e Finnie et al [16] propõem uma melhor precisão nas técnicas de estimativa L. P. D. Santos, M. G. V. Ferreira Safety Critical Software Effort Estimation using COCOMO II: A Case Study in Aeronautical Industry A de esforço envolvendo redes neurais. Já o autor Velarde et al [17] propõe um método baseado também em linhas de código, uma das entradas do próprio método COCOMO.…”

Section: Trabalhos Correlatosunclassified

“…Autor, ano MRE apresentado Velarde et al [17], 2016 87,8% Grimstad e Jørgensen [35], 2007 81% Hughes et al [41], 1998 32%…”

Section: Tabela XI Valores Mre Maiores Que 31%unclassified

Safety Critical Software Effort Estimation using COCOMO II: A Case Study in Aeronautical Industry

Santos

Ferreira

2018

IEEE Latin Am. Trans.

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 This paper provides a case study of a real aeronautical safety-critical software development project under the DO-178C processes, where the COCOMO II method was applied as an estimation technique for the required software development effort. The main goal and contribution of the case study is to support the research on software effort estimation and provide software practitioners with useful data based on a real project. We collected the actual required effort for the project and then compared to the estimated values. The rationales for each scale factor and effort multiplier selection were also described in details. We found a Magnitude of Relative Error (MRE) of 31% and provided alternatives for future work in order to increase the effort estimation accuracy in safety critical software projects.

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Software Development Effort Estimation based-on multiple classifier system and Lines of Code

Cited by 2 publications

References 15 publications

Applying COCOMO II for a DO-178C Safety-Critical Software Effort Estimation

Applying COCOMO II for a DO-178C Safety-Critical Software Effort Estimation

Safety Critical Software Effort Estimation using COCOMO II: A Case Study in Aeronautical Industry

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