Effort estimation of web-based projects: a systematic review

Dhiraj Kumar Goswami, Saurabh Bilgaiyan and Samaresh Mishra

International Journal of Productivity and Quality Management, 2021, vol. 32, issue 2, 179-202

Abstract: Lately, the importance of effort estimation of web-based projects has increased. Due to the web project's dynamic changes, it becomes more difficult to use a particular estimating method. According to the CHAOS Report 1994, only about 16.2% of the web projects are successfully developed in a given budget and time. In the first half of this study, we have provided a systematic analysis of the effort estimation of web-based projects. This would be useful for users to gain more knowledge on effort estimation in web-based projects since very few research works have been carried out in this field. Nowadays, web projects are more complex and data-centric. So, the inclusion of the database in the estimation process becomes necessary. Secondly, we proposed an estimation model, where the database is taken into consideration for its effort estimation. The result that we found after utilising the model gave more accurate effort estimation.

Keywords: software project management; SPM; software project scheduling problem; SPSP; expert judgement techniques; EJT; Delphi technique; use case points; UCPs; function point analysis; FPA; COSMIC software estimation technique; CSET; neural network technique; NNT; fuzzy logic methodology; FLM; evolutionary computation technique; ECT. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=113619 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:32:y:2021:i:2:p:179-202

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().