Software engineering metrics and models
Software engineering metrics and models
Web Development: Estimating Quick-to-Market Software
IEEE Software
Making Resource Decisions for Software Projects
Proceedings of the 26th International Conference on Software Engineering
Software Engineering Evolution
IWPSE '04 Proceedings of the Principles of Software Evolution, 7th International Workshop
Resource Estimation for Web Applications
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
A Comparison of Techniques for Web Effort Estimation
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
Comparing Between Web Application Effort Estimation Methods
ICCSA '07 Proceedings of the The 2007 International Conference Computational Science and its Applications
Web Cost Estimation and Productivity Benchmarking
Software Engineering
A systematic review of cross- vs. within- company cost estimation studies
EASE'06 Proceedings of the 10th international conference on Evaluation and Assessment in Software Engineering
Predicting web development effort using a bayesian network
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
The role of systematic reviews in identifying the state of the art in web resource estimation
Proceedings of the 2nd international workshop on Evidential assessment of software technologies
Improving software effort estimation using an expert-centred approach
HCSE'12 Proceedings of the 4th international conference on Human-Centered Software Engineering
Realising web effort estimation: a qualitative investigation
Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
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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.