Software engineering tools classification based on SWEBOK taxonomy and software profile

In the field of software engineering, it is necessary for users to use various software engineering tools for developing quality software throughout the Software Development Life Cycle (SDLC). Currently, there are many software engineering tools served various aspects of software processes. User may need to select tool for a particular purpose. Selecting a suitable tool from software engineering point of view is a challenge issue. Therefore, we propose an approach for software engineering tool retrieval that is accurate and appropriate for the users´ type of usage. We use the categories of software engineering tools specified by IEEE´s Software Engineering Body of Knowledge as headings and software tool profile for classifying the tools, and use the K-Means on Batch mode algorithm for classification. This classification before the retrieval step allows the retrieval to have more precision than the classic information retrieval approach, and this method can be applied to searches in other fields with a given taxonomy.