Curricular design based in bodies of knowledge: engineering education for the innovation and the industry

Bodies of Knowledge (BOK), contain the relevant knowledge for a disciplines as example Software Engineering (SE), System Information (SI), Information Technology (IT), Computer Science (CS), Medicine, Economics, and others areas of knowledge. BOK describes relevant knowledge for a discipline, and will need show the consensus in the Knowledge Areas (KA), and related disciplines. The development of this consensus is a prerequisite to the adoption of coherent skills development in the education context, and continuing professional programs both in public and private organizations. In this context a systematic mapping study (SMS), it was performed to evaluate quantity and types of primary studies in an area of interest. SMS will be used as the research method within this research. The research method proposed will allow to sort and classify the information referent to the topics of this research. This paper is an attempt to analyze existing proposals on BOK contents, structure, and make a proposal what the kind of contents it should have, and how it should be structured so that this consensus among all parties can be described and best achieved. In the same way the relevance, and useful of the BOK in the curricular design for the innovation, and the industry context is present

On Integrating Student Empirical Software Engineering Studies with Research and Teaching Goals

Background: Many empirical software engineering studies use students as subjects and are conducted as part of university courses. Aim: We aim at reporting our experiences with using guidelines for integrating empirical studies with our research and teaching goals. Method: We document our experience from conducting three studies with graduate students in two software architecture courses. Results: Our results show some problems that we faced when following the guidelines and deviations we made from the original guidelines. Conclusions: Based on our results we propose recommendations for empirical software engineering studies that are integrated in university courses.

A systematic review of software development cost estimation studies

This paper aims to provide a basis for the improvement of software estimation research through a systematic review of previous work. The review identifies 304 software cost estimation papers in 76 journals and classifies the papers according to research topic, estimation approach, research approach, study context and data set. A web-based library of these cost estimation papers is provided to ease the identification of relevant estimation research results. The review results combined with other knowledge provide support for recommendations for future software cost estimation research, including: 1) Increase the breadth of the search for relevant studies, 2) Search manually for relevant papers within a carefully selected set of journals when completeness is essential, 3) Conduct more studies on estimation methods commonly used by the software industry, and, 4) Increase the awareness of how properties of the data sets impact the results when evaluating estimation methods