Title

A Systematic review of web resource estimation

Document Type

Conference Proceeding

Source of Publication

ACM International Conference Proceeding Series

Publication Date

10-26-2012

Abstract

Background: Web development plays an important role in today's industry, so an in depth view into Web resource estimation would be valuable. However a systematic review (SR) on Web resource estimation in its entirety has not been done. Aim: The aim of this paper is to present a SR of Web resource estimation in order to define the current state of the art, and to identify any research gaps that may be present. Method: Research questions that would address the current state of the art in Web resource estimation were first identified. A comprehensive literature search was then executed resulting in the retrieval of 84 empirical studies that investigated any aspect of Web resource estimation. Data extraction and synthesis was performed on these studies with these research questions in mind. Results: We have found that there are no guidelines with regards to what resource estimation technique should be used in a particular estimation scenario, how it should be implemented, and how its effectiveness should be evaluated. Accuracy results vary widely and are dependent on numerous factors. Research has focused on development effort/cost estimation, neglecting other facets of resource estimation like quality and maintenance. Size measures have been used in all but one study as a resource predictor. Conclusions: Our results suggest that there is plenty of work to be done in the field of Web resource estimation whether it be investigating a more comprehensive approach that considers more than a single resource facet, evaluating other possible resource predictors, or trying to determine guidelines that would help simplify the process of selecting a resource estimation technique. Copyright © 2012 ACM.

ISBN

9781450312417

Publisher

ACM Press

First Page

49

Last Page

58

Disciplines

Computer Sciences

Keywords

Systematic review, Web resource estimation

Scopus ID

84867733071

Indexed in Scopus

yes

Open Access

no

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