Objective
The motivation for performing the experiment was to improve the status of the engineering practice. With respect to process engineering, measurement and control of the software development process is not sufficient. Errors in the software development process are often found too late within the product development or its life cycle. This significantly affects the time and costs for product development itself.
The objective of the experiment is to develop and establish a metric system to be implemented in the software development process in order to improve the quality (i.e. reliability, performance, maintainability and safety) of our products. Additionally, the transfer of the results within the wider European Community will be achieved by appropriate publications.
THE EXPERIMENT
To achieve the objective above, the following methods and tools will be applied in the experiment:
Data collection plan. This will be used for comparison, evaluation and verification of metrics.
Metric tools. Tools which are suitable to collect metrics for evaluation process quality and software product characteristics.
Quality management. Quantitative measurement of the quality of the software development process.
The metric system will be designed module scaleable for projects of different size and complexity.
The experiment will be performed around a baseline project, in this case a measurement equipment for general purpose measurement of components for advanced digital communications systems.
The baseline project team consists of 12-15 engineers involved with the development of hardware and 15-20 engineers developing the associated software.
EXPECTED IMPACT AND EXPERIENCE
The definition and analysis of the software development process by the introduction of metrics, including the creation of a comprehensive data dictionary for collection and evaluation of data, will allow to improve the software development process utilising measurable criteria.
The acquired capabilities concerning the development of high quality software will be utilised to improve software development practice and the software development process.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Call for proposal
Data not availableFunding Scheme
ACM - Preparatory, accompanying and support measuresCoordinator
81671 Muenchen
Germany