Objective
The role of digital signal processing (DSP) is increasingly important in modern electronic devices.
As the amount of software constantly increases, and the product development times shorten, there are needs for software process improvement. Since the product development is often evolutionary, the best way to improve is to learn from the experience and re-use it at many levels.
The objective of this experiment is to improve DSP software documentation to increase reuse of design documents, and decrease effort required to make and review documents by 50%.
THE EXPERIMENT
To achieve the objective, the approaches of Experience Factory and GQM are used.
The experiment consists of following activities:
a) Selection and adaptation of new documentation tools for DSP algorithm and software development, compatible with version and configuration management system PCMS
b) Definition and implementation of GQM metrics for DSP documentation process follow-up
c) Training DSP designers on the improved documentation methods
d) Piloting the new methods and collect feedback by GQM metrics, and qualitative assessment.
The baseline application is DSP software development for a mobile telephone product.
Nokia Mobile Phones R&D-Oulu employs about 420 people, 30 of them are involved in this PIE.
EXPECTED IMPACT AND EXPERIENCE
NMP expects to decrease field failure rates and total costs, increase productivity, and have more satisfied customers. Technically NMP expects to ease the introduction of new features, have better quality of re-used source code along with increased reusability of design documents.
Upon successful completion of the PIE the results will be replicated in other NMP sites and lessons learnt disseminated for wider community.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- natural sciences computer and information sciences software software development
- social sciences economics and business economics production economics productivity
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
24101 Salo
Finland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.