Measurement, predictions and risk analysis for Web applications

Accurate estimates of development effort play an important role in the succ essful management of larger Web development projects. By applying measureme nt principles to measure qualities of the applications and their developmen t processes, feedback can be obtained to help understand, control and impro ve products and processes. The objective of this paper is to present a Web design and authoring predic tion model based on a set of metrics which were collected using a case stud y evaluation. The paper is organised into three parts: part I describes the case study evaluation (CSE) in which the metrics used in the prediction mo del were collected These metrics were organised into five categories: effor t metrics, structure metrics, complexity metrics, reuse metrics and size me trics. Part II presents the prediction model proposed, which was generated using a Generalised Linear Model (GLM), and assesses its prediction power. Finally , part III investigates the use of the GLM as a framework for risk manageme nt.