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Optimal Data Quality in Project Management for Global Software Developments | IEEE Conference Publication | IEEE Xplore

Optimal Data Quality in Project Management for Global Software Developments


Abstract:

Nowadays, globalization of markets is a well-consolidated and an ever increasing growing fact. Within ICT field, one of the areas experiencing a faster growth is Global S...Show More

Abstract:

Nowadays, globalization of markets is a well-consolidated and an ever increasing growing fact. Within ICT field, one of the areas experiencing a faster growth is Global Software Development (GSD). GSD evolves the participation of multi-skilled people and the use of different managerial and technological resources, globally distributed, in order to obtain software with the greatest quality level as possible, but at the both minimum cost and developing time. Optimizing the use of such as resources, it would possible to optimize the overall performance of the GSD Process. We posit that this optimization could be done by enhancing the levels of data quality of the artifacts generated and used within this process. To achieve this goal, we need a research strategy. At the core of the GSD processes, the GSD Project Management Process is located. Its main aims are planning, executing, controlling and managing, and closing the project. Focusing our efforts on this specific process as a research strategy, we think that a good approach could be done. In addition, in order to facilitate the technological transfer to most of companies, we assume that our efforts might be aligned to CMMI, which for the area of our interest, is well complemented by PMBOK. The main aim of this investigation is to improve the levels of the data/information quality within the GSD Project Management Process. To drive the research, we are going to use IQMF, a CMMI-based framework for the assessment and improvement of the data/information quality. By means of this framework we are going to highlight several Researching Questions, which will guide our investigation.
Date of Conference: 21-23 November 2009
Date Added to IEEE Xplore: 28 December 2009
Print ISBN:978-0-7695-3898-3
Conference Location: Beijing, China

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