International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

Frequency: 12
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 Volume 5, Issue 11 (November 2018), Pages: 33-39

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 Original Research Paper

 Title: Efficient effort estimation of web based projects using neuro-web

 Author(s): Nosheen Qamar 1, *, Farwa Batool 2, Kashif Zafar 2

 Affiliation(s):

 1Computer Science and Information Technology Department, University of Lahore, Lahore, Pakistan
 2Computer Science Department, National University of Computer and Emerging Sciences, Lahore, Pakistan

 https://doi.org/10.21833/ijaas.2018.11.004

 Full Text - PDF          XML

 Abstract:

The effort estimation needs to be done at early stages for successful delivery of software. Numerous models have been developed to estimate software effort during the last decades, but effort estimation of a software project is still a challenging task and in the case of web based projects, it is even harder. The selection of programming language and use of different type of objects i.e. hyperlinks, graphics, and scripts etc. make the web effort estimation process really complex. An estimation model “WebMo”, proposed to estimate the effort of web based projects inspired by COCOMO. This research presents a non-algorithmic model named “Neuro-Web” based on Artificial Neural Networks (ANN). The proposed model will use the WebMo parameters as input. These parameters include web application size, productivity coefficients, and 9 different cost drivers. This proposed model is calibrated using the dataset of 164 real-life web applications developed by different freelancers and software houses. The “Neuro-Web” model is compared with the existing model “WebMo” and results reveal that Neuro-Web performs better than “WebMo”. The MMRE of the proposed method is just 9.92% as compared to 26.27% for WebMo. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Effort estimation, Neural networks, Software engineering, Web applications, Software planning

 Article History: Received 16 May 2018, Received in revised form 29 August 2018, Accepted 2 September 2018

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.11.004

 Citation:

 Qamar N, Batool F, and Zafar K (2018). Efficient effort estimation of web based projects using neuro-web. International Journal of Advanced and Applied Sciences, 5(11): 33-39

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I11/Nosheen.html

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