Picture of two heads

Open Access research that challenges the mind...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including those from the School of Psychological Sciences & Health - but also papers by researchers based within the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Investigating effort prediction of web-based applications using CBR on the ISBSG dataset

Letchmunan, S. and Roper, M. and Wood, M. (2010) Investigating effort prediction of web-based applications using CBR on the ISBSG dataset. In: 14th International Conference on Evaluation and Assessment in Software Engineering (EASE), 2010-04-12 - 2010-04-13.

[img]
Preview
PDF
ewic_ea10_session1paper3.pdf - Accepted Author Manuscript

Download (142kB) | Preview

Abstract

As web-based applications become more popular and more sophisticated, so does the requirement for early accurate estimates of the effort required to build such systems. Case-based reasoning (CBR) has been shown to be a reasonably effective estimation strategy, although it has not been widely explored in the context of web applications. This paper reports on a study carried out on a subset of the ISBSG dataset to examine the optimal number of analogies that should be used in making a prediction. The results show that it is not possible to select such a value with confidence, and that, in common with other findings in different domains, the effectiveness of CBR is hampered by other factors including the characteristics of the underlying dataset (such as the spread of data and presence of outliers) and the calculation employed to evaluate the distance function (in particular, the treatment of numeric and categorical data).