Earticle

Building large relevance datasets is important for the training and evaluation of Information Retrieval (IR) systems. This process involves the collection of documents, queries and assessors' judgments of the degree of relevance of a query to a document. This process is expensive and time consuming. Additionally, it is not a one-of-a-kind project as it can be repeated for different languages and different corpora scopes and with different techniques. This paper presents a software engineering solution for the process of creating relevance corpora that achieves reusability, flexibility, multilingualism and modularity, in order to respect the experimental nature of IR field. The software engineering solution is presented as UML models. This paper then shows how the proposed design model was used to implement the process of building an open source relevance Arabic corpus based on the Clue Web 2009 data set for the purpose of supporting research evaluating and improving search engines for Arabic language.

Software has been a significant part of modern society for a long time. In particular, this paper is concerned with various software development process models. Software process model is a description of the sequence of activities carried out in a software engineering project, and the relative order of these activities. It represents some of the development models namely, waterfall, v-shaped, incremental, RAD, iterative spiral and agile model. Therefore, the main objective of this paper is to represent different models of software development and different aspects of each model to help the developers to select specific model at specific situation depending on customer demand.