2021
DOI: 10.1007/s12652-021-03427-y
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Preliminary performance study of a brief review on machine learning techniques for analogy based software effort estimation

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Cited by 10 publications
(2 citation statements)
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“…Barry Boehm presented a model first time in 1981 called the COCOMO I model. The COCOMO represents the Constructive Cost Model [21][22][23]. In this condition, the KLOC/KDSL is speaking to the thousands of source lines of code.…”
Section: Cocomo Imentioning
confidence: 99%
“…Barry Boehm presented a model first time in 1981 called the COCOMO I model. The COCOMO represents the Constructive Cost Model [21][22][23]. In this condition, the KLOC/KDSL is speaking to the thousands of source lines of code.…”
Section: Cocomo Imentioning
confidence: 99%
“…Deep learning model also plays a good role in mapping nonlinear dynamic systems that are difficult to be expressed by accurate mathematical models. They have been well applied, covering anomaly signal detection [9][10][11], autonomous driving technology [12], surface topography reconstruction [13], image processing [14][15][16], natural language processing [17][18][19], medical image analysis [20][21][22][23], medical diagnosis [24][25][26][27][28][29], and software effort estimates [30]. In terms of dynamic data prediction, Hemavathy and Indumathi [31] proved neural networks can accurately identify the best relay node of underwater acoustic sensor networks combined with dynamic bias tracking algorithms.…”
Section: Related Workmentioning
confidence: 99%